• 专利附录
  • 专利说明
  • 权利要求
  • 类似技术
  • 同族专利
  • 引用文献
  • 法律状态
  • 优先权
    • 专利摘要:
    The refrigeration apparatus according to the present invention is to control the system to maintain the fluid refrigerant level in the condenser by preventing or minimizing the gas bypass to the evaporator 110 to obtain the optimum cooling operation efficiency. The system senses the level of the fluid refrigerant in the condenser 100 to determine the position of the multi-position valve 140 that can variably limit the flow of fluid entering the evaporator 110 with the detected variable 170. It will contain fuzzy logic that can be adjusted accordingly. The fuzzy logic uses the level error to the level 501 at the set position and the rate of change of the sensed level 504 as input values. Each of these inputs will provide the output signal required to control opening and closing the valve with fuzzy logic technology.
    公开号:KR20000005402A
    申请号:KR1019980708134
    申请日:1997-04-11
    公开日:2000-01-25
    发明作者:그레고리 케이 베벌슨；크레이그 엔 소레스；루쎌 피 웨친스키
    申请人:킹 로버트 에이.；요크 인터내셔널 코포레이션；
    IPC主号:
    专利说明:

    Refrigeration unit to control fluid level using fuzzy logic
    In general, a refrigerant fluid is a mechanical refrigerant fluid cooler. This refrigerant is easy to control the flow of the refrigerant to obtain the optimum operating conditions and efficient operation.
    These conventional coolers have installed a sensor that can detect the surface of the fluid to measure the level of the refrigerant.
    It is well known that it is difficult to accurately control the level of the flow of refrigerant in a refrigerant cooling device using a fluid sensor and a purge logic that receive a sensed value as a variable input value.
    The present invention relates to the control of a mechanical refrigeration fluid cooler, and more particularly, in the purge logic fluid level control device using the mechanical refrigeration fluid cooler to control the level of the fluid refrigerant in the condenser to prevent gas from escaping from the condenser. To control.
    1 is a diagram showing the overall configuration of a mechanical refrigeration fluid cooler,
    2A and 2B are graphs showing the correlation between the fluid level error (difference value between the measured level and the predetermined best level) and the fluid level change rate as input values;
    3 is a diagram illustrating an example of a true table of fuzzy logic according to the present invention;
    4 is a view showing another example showing a true table of the fuzzy logic according to the present invention;
    5A through 5E are flow charts for explaining the operations obtained by the execution of the microprocessor in the embodiment according to the present invention.
    The apparatus and method according to the invention consist of a refrigerating device comprising an evaporator and a compressor, an expansion device such as a condenser and a valve and those which connect the sealed refrigeration system to each other.
    As is already known, the refrigerant flows through such a device and accumulates in the condenser and the evaporator. In the present invention, the fluid level sensor is located in the capacitor to measure the level of the refrigerant fluid.
    The expansion device or chamber is located between the evaporator and the condenser and includes a variable-flow valve installed therein. This valve is a butterfly valve that is selectively opened and closed as each step is performed by a motor or solenoid or similar actuator coupled as part of its components.
    The valve is controlled according to the operation amount of the actuator driven by the microprocessor. The microprocessor receives one or more output signals sensed by the fluid level sensor and controls the position of the valve so that the supply amount of the refrigerant changes. To regulate the flow.
    More preferably, the microprocessor determines the appropriate valve position using a fuzzy logic algorithm executed according to the fluid level sensed at the capacitor and the rate of change.
    The above description and the following description are merely for illustrative purposes and do not limit the technical details of the invention described in the claims.
    The present invention is to improve the control of the centrifugal cooler, it will be able to distinguish the difference from the other invention.
    The fluid level control device according to the invention is well illustrated in the accompanying drawing 1 which shows an example applied to a refrigeration apparatus. The refrigerating device includes a condenser 100, an evaporator 110, a centrifugal gas compressor 120, an expansion device or chamber 130 including a valve 140, and a refrigeration system sealed by interconnecting them.
    More preferably, the restrictor uses a multi-position valve, such as a butterfly valve, to change the flow resistance of the refrigerant or the flow itself. For example, such a butterfly valve uses a D-200 butterfly valve manufactured and supplied by Norriseal.
    The valve controller 150 opens and closes the valve 140 in relation to its previous position based on a signal received from a controller such as the microprocessor 160. The valve controller uses a motor, solenoid or similar actuator that is well known and used in practice.
    For example, the actuator uses a Barber Colman MP-481 Damper Actuator, which is a motor that rotates when an AC signal is applied for a given period (pulse). Of course, the pulse type generated by the DC signal can also be applied.
    In a preferred embodiment of the present invention, the microprocessor sends a signal in the form of a pulse that can be received by the actuator in a form that causes the actuator to open and close in the proper direction. Alternatively, other signals or actuators may be used that allow the valve to accept signals and open and close properly.
    The refrigerant sensor 170 is used to detect the amount of fluid refrigerant in the capacitor. Preferably the sensor is a fluid level sensor located within the condenser 100 and outputs a signal to the microprocessor 160.
    The sensor used here uses SHP and SVP level conversion needles manufactured and supplied by Hansen Technologies Corporation. In the case of a condenser, the sensor is inserted directly into the refrigerant storage container and used to continuously accumulate the measurement of the refrigerant level.
    The sensor is a capacitance type level transducer. Since the refrigerant fluid is much more capable of storing capacitance than steam, the level of the refrigerant fluid is changed to an appropriate capacitance.
    In this operation, the refrigerant gas is compressed in the compressor 120, but is not shown, is transferred to the condenser 100 exposed to a cooling medium such as water 180 filled in the cooling tower, and condensed into the fluid refrigerant.
    The fluid refrigerant is passed through the expansion device or the chamber 130, and as a result, a pressure drop occurs to the internal pressure of the evaporator 110. The refrigerant expands in the process of being passed to the evaporator 110 through the expansion chamber 130 along the route.
    When the refrigerant passes through the evaporator 110, the circulating water 190 flows into the heat exchanger associated with the refrigerant from the cooling device to cool the refrigerant. The coolant thus cooled is sublimed and returned to the compressor 120.
    In this way, the circulating water cools the evaporator 110 while circulating through the air cooling unit. As is already known, the capacitance of the compressor 120 is controlled to vary the degree of cooling depending on the cooling demand or the load.
    The flow of fluid or gas passing through the breaker, such as the throttle valves 130 and 140, causes a pressure drop in the breaker and receives flow resistance as much as the flow of the fluid according to the geometry of the breaker.
    As a result, the flow of the refrigerant fluid passing through the expansion device depends on the pressure of the condenser 100 and the evaporator 110 and the geometry and position of the valve 140. By adjusting the position of the valve, the flow resistance to the flow of the refrigerant fluid changes.
    By controlling the position of the valve 140, the control system controls the gas refrigerant to flow to the evaporator to a minimum even though the flow resistance to the fluid flow in the expansion chamber 130 is not completely removed.
    In a preferred embodiment of the present invention, the valve is controlled in such a way as to maintain the refrigerant fluid in the capacitor at a predetermined set point level. The microprocessor 160 drives the valve actuator 150 by outputting two potentially related output signals, i.e., an open / close signal, which is preferably output using a fuzzy logic algorithm.
    At a given period, the microprocessor's output will open or close the valve by a given amount over its previous state. As described below, the microprocessor makes this determination based on the detected fluid level and the rate of change of the level using a fuzzy logic algorithm.
    The fluid level sensor 170 measures the level of the refrigerant fluid in the condenser 100. Preferably the sensor is a capacitive level converter.
    In a preferred embodiment of the invention, the probe is provided with two electrical terminals separated by a refrigerant fluid. The refrigerant fluid converts the capacitance of the probe in proportion to the level of the refrigerant fluid.
    As a result, the probe outputs a voltage reflecting the fluid level to be sensed. The microprocessor 160 uses the output of this sensor to determine the level of fluid refrigerant and fluid level error (difference between the actual fluid level and a predetermined appropriate level), and the rate of change of the fluid level.
    If the valve 140 is much closed, the fluid filled in the condenser 100 may be insufficient in the evaporator. If the valve 140 is much open, the refrigerant fluid in the condenser 100 is evaporator. The gas is bypassed in a gaseous state at 100.
    When the gas is bypassed in this manner, the compressor 120 generates heat while doing more work, and also maintains the flow of gas. This operation reduces the operating efficiency of all coolers.
    The microprocessor 140 stores a fuzzy lodge algorithm to use to control the valve 140. The algorithm decides whether to open or close the valve further to maintain the ideal fluid level set point.
    The appropriate level of set point is functional, depending on the shape of the cooler, and is carefully selected to prevent gas refrigerant from bypassing and returning to the evaporator. The appropriate level of refrigerant in a given chiller will determine the best location by testing the chiller and testing based on practical experience.
    When bypass of the refrigerant gas occurs, the compressor is operated to maintain this gas flow. Of course, no additional cooling capacity can be obtained. This operation reduces the overall operating efficiency of the chiller. When the valve is in a position where gas is not bypassed and the fluid level of the condenser is at a set point, the operating efficiency of the cooler is optimal.
    The fuzzy logic algorithm controls the ideal valve position by extracting a substantial fluid level periodically measured by the sensor 170 in a pre-programmed period.
    For example, the preprogrammed period may be in the range of 1 second to 5 seconds. By extracting the output of the sensor 170 and comparing one or more pre-stored samples from these sensed variables with detection values at a preselected ideal level, the microprocessor uses known computer techniques to determine the error of this fluid level. And the rate of change.
    The ultimate purpose of the fuzzy logic algorithm is to set the fluid level error to zero so that the refrigerant gas bypasses the evaporator so that no fluid is running out in the evaporator and also optimizes the operating efficiency of the cooler.
    During each sample cycle, the fuzzy logic algorithm of the microprocessor 160 is negative and positive with respect to each input value (fluid level error and its rate of change) that is weighed from 0 to 100. And it is determined to be a zero state.
    The fuzzy logic algorithm then evaluates several implication gates (if then) incorporating the process at each of these stages and combining setpoint paths for the operation obtained in the control system.
    The fuzzy logic algorithm receives a fluid level error and a rate of change of the fluid level error as a variable input value. In a preferred embodiment of the invention, the correlation elements are defined by three correlation elements for these two inputs. Each correlation is linearly determined by the input already given in the form of zero, positive or negative.
    As shown in Figure 2a, the fluid level error of 20% is represented by the proportion of positive 50%, zero 50% and negative 0% of the correlation factors. In Figure 2b, a level error rate of -15% is equivalent to having a correlation of negative 60%, zero 40% and positive 0%.
    Correlation elements shown in the attached drawings 2a and 2b are not symmetrical with respect to zero, and the positive factors reflect the correlation factors for the negative when considering the same input value.
    In general, the correlation elements may be linear or non-linear. Each of these correlations is independently programmed and transformed in the microprocessor 160.
    As such, the responsiveness between the level error and the level error rate can be corrected with low sensitivity or high sensitivity in the high sensitivity range between symmetry and asymmetry by effective system control.
    In an embodiment according to the invention, each correlator selects a method of controlling the valve so that it opens quickly to avoid staring at the evaporator while the valve is closing slowly so as not to pass the set position. .
    Such is desirable to preprogram the correlation elements to flexibly operate the control of the controller. The user then transforms the correlations to which the fuzzy logic algorithm is applied.
    The ultimate object of the present invention is to minimize the flow of levels available and to make them as practical as possible.
    3 shows a true table for fuzzy logic, which is a diagram showing how the microprocessor 160 performs fuzzy logic as in the embodiment according to the present invention.
    As shown in the table, εN, εZ and εP represent the level errors for negative, zero and positive, respectively, and dεN, dεZ and dεP represent the negative, zero and positive values for the level error rate, respectively.
    These rule combinations (εN, dεN), (εZ, dεN) and (εN, dεZ) generate a waveform signal to close the valve 140 to increase the fluid level in the condenser 100, In contrast, the measurement combinations εP, dεZ, εP, dεP, and (εZ, dεP) generate a waveform signal for opening the valve 140 to reduce the fluid level in the capacitor 100.
    The other three combinations do not evaluate their value as the result of no operation. Therefore, in the fuzzy estimation, these six measurement combinations are used to obtain the minimum / maximum values.
    This method is initially run to estimate the minimum fuzzy AND for each of the six measurement combinations. Next, fuzzy OR estimation is performed to find the maximum value from each of the three measurement combinations in which the valve actuator is opened and closed, and the result is determined as the two highest values as a response result used for opening and closing the valve actuator. Will be done.
    The two highest values thus determined are used in combination with the output signals used to escape from the undecided, and the output signals are used to determine what has been undecided.
    It is desirable to use the single set point method as the central method for determining what is undecided is further enhanced in numerical calculations than is required for this application.
    In this single set point method, the single output value is obtained as the difference between the maximum value of closing the valve actuator for opening the valve actuator. If this output is less than zero, the output signal to drive the valve actuator will pulse for a time that corresponds to the percent of the sample period that seals the valve.
    If this output value is greater than zero, the opening signal of the valve actuator will generate a pulse for a time equal to the percent of the period sampled to open the valve.
    These pulses and periods are determined based on experience with fluid flow in the system including the valve and actuator. Ultimately the output is obtained by testing or actually operating the cooler to which the present invention is applied.
    The calculated output can be applied anywhere from -100 (pulse width when the valve actuator is closed like the sample period) to 100 (pulse width when the valve actuator is opened like the sample period). . The open and closed pulses cannot coexist at the same time.
    The fuzzy inference according to the present invention becomes apparent in the following examples obtained with purely empirical tendencies, and the accompanying drawings show the true progress thereof.
    Referring to FIG. 4, the correlation element determined by εZ (50) is combined with the correlation element determined by dεN (60) obtained by performing minimum fuzzy inference such as undetermined logical product.
    The undetermined logical product is applied to obtain a minimum value of 50 to the first sealing degree C1 and a second and third sealing degree C2 and C3, and to the valve to obtain the first, second and third openings.
    After the minimum fuzzy estimation is performed, the maximum fuzzy estimation is performed, and the unsigned logical sum is performed to obtain C1 and C2, and MAX (50,0,0) with a maximum value of 50, which is the maximum value. The maximum value obtained when the actuator is sealed.
    This maximum fuzzy estimation yields O1 and O2 and C3 or MAX (40,0,0) in the open state, which is the maximum value of 40 when the actuator is closed.
    The next step in the fuzzy logic routine is to use the result value to de-fuzzify the signal output. The signal output is obtained by a definite method well known in the technical field to which fuzzy logic belongs.
    Of course, the simple proximity method is more useful, even if the central method is more accurate than required by the present invention.
    As is well known in the art to which the fuzzy logic belongs, the simple proximity method has a value of −10 as a result obtained by subtracting the sealing degree 50 from the opening degree 40.
    If this value is less than 0, the output signal for closing the valve actuator will pulse for 10% of the sample period. If the sample period is 4 seconds, the signal for closing the valve also outputs a pulse signal for 0.4 seconds.
    Execution of the microprocessor 160 to perform the fuzzy logic routine described above is shown in a flow chart in the accompanying drawings 5a to 5b.
    When the cycle timer of the microprocessor 160 expires, the fuzzy logic routine begins step 500.
    The cycle timer CYCLE TMR is set to the same time as the variable level period started in the microprocessor so that this timer can be restarted to perform the next sample cycle (step 501).
    The level error ERROR is a difference between the required fluid level ratio LEVEL_SETP programmed between 20 and 80% and the measurement level LEVEL_CONV having a value of 5 to 100% as an input value obtained from the level sensor 170. (Step 501).
    If the level of the refrigerant fluid in the last cycle cycle LEVEL_LAST becomes zero as in step 502, the level in this cycle is set to the actually measured level (step 503).
    This setting is intended to prevent the system from executing for a period of time to measure and calculate the rate of abnormal change caused by restarting the fuzzy logic routine.
    The fluid level error (RATE) is calculated by the difference of the fluid level measured during the last cycle from the fluid level measured during the cycle (step 504).
    Of course, the present invention contemplates an apparatus using the sensed level as an input value. The variable at the last fluid level is then set equal to the actually measured fluid level used during the next cycle in the fuzzy logic routine (step 504).
    The routine then determines whether or not the level error is within ± 3% range (step 505).
    If this level error is within this range, the level error is set to zero (step 506), otherwise the routine determines if the level rate RATE is in the range of +/- 1%. In this way, the level rate is set to zero.
    If the level rate is out of the predetermined range, the routine compares the error value independently programmed PROPORTION LIM CLOSE in the range of 10 to 50% (step 509).
    If the error is less than or equal to the variable rate, the routine sets the negative level error (εN; ERROR_NEG) to 100%, and the zero level error (εZ: ERROR_ZER) and the positive level error (εP; It is set (step 510) and input to subroutine B, otherwise it is input to subroutine A.
    As shown in FIG. 5B, the subroutine A determines whether the level error has a negative value 511 less than zero.
    If the level error is negative, the routine is set to a negative level error equal to-(100-level error) divided by a variable rate, the zero level error is set to (100-negative level error), and a positive level. The error is set to zero (step 512).
    If the level error is greater than or equal to 0 in step 511, the routine compares the error rate with a variable rate programmed independently in the range of 50 to 100 (step 513).
    If the level error is greater than the variable rate, the routine sets the negative level error and zero level error to zero and the positive level error to 100. (Step 514) Conversely, if the level error is small or equal, the routine is negative. The level error is set to 0, the positive level error is divided by (100-level error) by 100, and the zero level error is set to (100-positive level error), respectively.
    The subroutine B starts determining the correlation factor for the level error rate.
    The routine determines whether the level error is smaller than the closed error rate (RATE_LIM_CLOSE) programmed to vary within 10 to 50%. If the level error rate is small, the negative level error is 100, and the zero level error rate and positive The level error rate is set to 0 respectively (step 517).
    Conversely, if the level error rate is the same or large, the routine determines whether the level error rate has a value less than zero, which is negative (step 518).
    If the level error rate has a negative value, the routine sets the negative level error rate to a value of-(100-level error rate) / closed error rate (RATE_LIM_CLOSE); The zero level error rate is set to a (100-level error rate) value, and the positive level error rate is set to 0 (step 519).
    If the level error rate is found to be greater than or equal to 0 in step 518, the routine compares the closed error rate (RATE_LIM-CLOSE) independently programmed to be within the range of 10-50% with the level error rate value (step 520).
    When the level error rate has a value larger than the closed error rate RATE_LIM-CLOSE, the routine sets the negative level error rate and the zero level error rate to 0 and the positive level error rate to 100 (step 521).
    If the level error rate is less than or equal to, the routine sets a negative level error rate to zero; A positive level error rate is set to a (100-level error rate) / closed error rate (RATE_LIM-CLOSE) value; The zero level error rate is set to a (100-positive level error rate) value (step 522).
    In the accompanying drawing 5c, the subroutine C will perform the minimum purge inference to close the valve, as described above. Here, the routine determines whether the negative level error rate is equal to or smaller than the negative level error.
    If the negative level error rate is less than or equal to, the valve closing degree CLOSE is set to the same value as the negative level error rate, which is the minimum value (step 524).
    On the contrary, if the negative level error rate is larger than the negative level error, the valve opening degree CLOSE is set to the same value as the negative level error. (Step 525) At this point, the valve opening degree CLOSE is the second opening degree C2. It will have the same value as
    The routine then determines whether the negative level error rate is equal to or less than the zero level error rate, and then the dummy variable TEMP is set to the same value as the negative level error rate (step 527).
    On the contrary, if the negative level error value is large, the dummy variable is set to the zero level error value. At this point, the dummy variable TEMP replaces the first valve sealing degree C1.
    The routine determines whether the valve closing degree CLOSE has a value smaller than the dummy variable TEMP (step 529), and if the value is small, the valve closing degree is set to the same value as the dummy variable TEMP. Step 530)
    This operation results in a valve closure having a maximum value between the first and second valve closures C1 and C2.
    If the routine has a zero level error rate equal to or less than a negative level error, the dummy variable TEMP is set to the same value as the zero level error rate, otherwise the dummy variable TEMP is equal to the negative level error. Is set (step 533).
    Then, the subroutine D is executed so that the dummy variable is replaced with the third valve seal C3 value.
    In the attached drawing 5d, the subroutine D determines whether the sealing degree having the maximum value between the first and second sealing degrees C1 and C2 is smaller than the dummy variable represented by the third sealing degree. If the value is small, the valve closing degree is set to the same value as the dummy variable.
    As this operation proceeds, the maximum valve seal is determined and stored as a seal value.
    The subroutine D then performs the minimum fuzzy aperture inference described above, and execution begins to determine when the zero level error rate is less than or equal to the positive level error (step 536).
    In this way, the opening degree OPEN is set to the minimum value equal to the zero level error rate, otherwise this opening degree OPEN is set to the same value as the positive level error (step 538).
    At this time, the opening degree is represented by the value of the first valve opening degree 01.
    The routine determines whether the positive level error rate is less than or equal to the zero level error rate. (Step 539) If smaller or equal, the dummy variable TEMP is set to the same value as the positive level error rate.
    Otherwise, the dummy variable TEMP is set to the same value as the zero level error. (Step 541) At this time, the dummy variable TEMP replaces the third opening pattern COPE.
    If the opening degree OPEN has a value smaller than the dummy variable TEMP, the opening degree OPEN becomes equal to the dummy variable TEMP. (Step 543) In this operation, the first and third operations are performed. The opening degree also finds the maximum opening degree between O1 and O3.
    If the positive level error rate becomes less than or equal to the positive level error (step 544), the dummy variable TEMP is set to the same value as the positive level error rate and input into the subroutine F (step 545), otherwise the subroutine It is entered as E.
    In the accompanying drawing 5e, the subroutine F is the same as the subroutine E except for the bypass step 546. In step 546, the dummy variable TEMP has the same value as the positive level error. Here, the dummy variable TEMP is represented by a second opening O2.
    In the attached drawing 5e shown above, in step 547, the opening degree OPN representing the maximum value between the first and third openings O1 and O3 has a smaller value than the verme variable TEMP represented by the second opening O2. Will be judged.
    If the value is small, the opening degree OPEN is set to the same value as the dummy variable TEMP. (Step 548) The maximum opening degree at this time is determined and stored as "open" in the microprocessor 160. .
    The subroutine E continues to execute step 549 so that the dummy variable TEMP is equal to the difference between the maximum opening degree OPEN and the maximum closing degree CLOSE. This operation corresponds to a single proximity method of de-fuzzification.
    The routine determines whether the dummy variable (TEMP) value is greater than 2 in step 550, and when the value is large, the valve is divided into an opening level dummy variable (OPEN_LEVEL_TMR) obtained by dividing the product of the level period and the dummy variable by 100. A pulse signal is received so as to open for the displayed time (step 551).
    The closed level dummy variable COLSE_LEVEL_TMR is set to 0 in step 551 because the pulse signal for closing the valve is not desired.
    If the routine determines that the dummy variable TEMP value is less than -2 (step 552), the closed level dummy variable CLOSE_LEVEL_TMR is equal to the time obtained by dividing (dummy variable x level period) by 100. The opening level dummy variable OPEN_LEVEL_TMR is set to 0 by judging that this value is a pulse value at which the valve is not opened.
    If the dummy variable TEMP is greater than 2 or less than -2, the closed level dummy variable CLOSE_LEVEL_TMR and the opening level dummy variable (and OPEN_LEVEL_TMR) are determined to not require pulse generation and are set to 0. (Step 554).
    As described above, the present invention is used to quickly and accurately measure the level of refrigerant fluid in a capacitor. As such, the cooler is under control of operation at the most efficient operating point.
    Other embodiments according to the present invention are well known in the art as shown herein. These examples are merely illustrative of what is shown in the claims of the present invention.
    权利要求:
    Claims (21)
    [1" claim-type="Currently amended] An evaporator, a compressor, a condenser, an expansion valve, and everything that connects the closed cooling system to form a cold system for circulation of the refrigerant;
    A refrigerant fluid filled in the capacitor;
    A sensor for measuring a fluid refrigerant level of the capacitor and providing a measurement signal;
    An expansion device for selectively changing the degree of restriction of the refrigerant flow through the device in response to a control signal;
    And a microprocessor controller which extracts the measurement signal in the selected section and applies the signal in a preselected manner to program the signal to maximize or minimize the flow of gas refrigerant in the evaporator.
    [2" claim-type="Currently amended] The refrigerating device of claim 1, wherein the sensor measures the level of the fluid refrigerant in the capacitor.
    [3" claim-type="Currently amended] 3. The refrigerating device of claim 2, wherein the expansion device comprises a multi-position valve.
    [4" claim-type="Currently amended] 4. The controller of claim 3, wherein the controller obtains a control signal that generates a pulse to periodically operate the valve in the opening and closing direction to adjust the level at a preselected set point in the capacitor. Freezer.
    [5" claim-type="Currently amended] The freezing apparatus of claim 4, wherein the microprocessor applies the extracted measurement signal to a fuzzy logic algorithm.
    [6" claim-type="Currently amended] An evaporator, a compressor, a condenser, an expansion valve, and everything that connects the closed cooling system to form a cold system for circulation of the refrigerant;
    A refrigerant fluid filled in the capacitor;
    A sensor for measuring a refrigerant fluid level of the capacitor and providing a measurement signal;
    An expansion device located between the evaporator and the condenser and selectively changing a degree of restriction of the refrigerant flow passing through the device between the evaporator and the condenser in response to a control signal;
    A microprocessor using a correlation element with a purge logic programmed to take a measurement signal from the sensor and convert it into a control signal that regulates the flow of refrigerant from the condenser to the evaporator to minimize or eliminate the flow of gas refrigerant in the evaporator. Refrigeration apparatus comprising a controller.
    [7" claim-type="Currently amended] 7. The refrigerating device of claim 6, wherein the sensor is a fluid level sensor that measures the level of the fluid refrigerant in the capacitor.
    [8" claim-type="Currently amended] 7. The refrigerating device of claim 6, wherein the expansion device includes a multi-position valve that opens and closes according to the control signal.
    [9" claim-type="Currently amended] 8. A refrigeration apparatus according to claim 7, wherein the fluid level sensor is a fluid level sensor of capacitance type.
    [10" claim-type="Currently amended] 9. The refrigerating device of claim 8, wherein the microprocessor converts the control signal for selectively opening and closing the valve to adjust the fluid level of the refrigerant to a level at a preselected set point in the capacitor.
    [11" claim-type="Currently amended] 11. The refrigerating device of claim 10, wherein said valve operates as an inflation device.
    [12" claim-type="Currently amended] The refrigerating device of claim 10, wherein the microprocessor periodically extracts the fluid level measured from the fluid level sensor and executes a fuzzy logic algorithm within each period.
    [13" claim-type="Currently amended] 13. The refrigerating device of claim 12, wherein the microprocessor calculates a level error value equal to the difference between the measurement level of the refrigerant fluid and the level at a preselected set point and applies the error value to a fuzzy logic algorithm.
    [14" claim-type="Currently amended] An evaporator, a compressor, a condenser, an expansion valve, and everything that connects the closed cooling system to form a cold system for circulation of the refrigerant;
    A refrigerant fluid filled in the capacitor;
    A sensor for measuring a refrigerant fluid level of the capacitor and providing a measurement signal;
    An expansion device located between the evaporator and the condenser and selectively changing a degree of restriction of the refrigerant flow passing through the device between the evaporator and the condenser in response to a control signal;
    It is composed of a controller using a fuzzy logic algorithm to minimize or eliminate the flow of gas refrigerant in the evaporator receiving the measurement signal from the sensor to a control signal for controlling the flow of refrigerant from the condenser to the evaporator,
    The controller converts the valve for selectively opening and closing the valve for adjusting the fluid level of the refrigerant set in the condenser, and the microprocessor converts the refrigerant fluid measured in the condenser when the level is higher than that at the preselected set position. A refrigerating device, characterized in that for opening the valve so as to be in the previous state.
    [15" claim-type="Currently amended] An evaporator, a compressor, a condenser, an expansion valve, and everything that connects the closed cooling system to form a cold system for circulation of the refrigerant;
    A refrigerant fluid filled in the capacitor;
    A sensor for measuring a refrigerant fluid level of the capacitor and providing a measurement signal;
    An expansion device located between the evaporator and the condenser and selectively changing a degree of restriction of the refrigerant flow passing through the device between the evaporator and the condenser in response to a control signal;
    It is composed of a controller using a fuzzy logic algorithm to minimize or eliminate the flow of gas refrigerant in the evaporator receiving the measurement signal from the sensor to a control signal for controlling the flow of refrigerant from the condenser to the evaporator,
    The controller converts the valve for selectively opening and closing the valve that controls the fluid level of the refrigerant set in the condenser, and the microprocessor converts the refrigerant fluid measured in the condenser when the level is lower than at the preselected set position. Refrigerating apparatus, characterized in that for closing the valve to be in the previous state.
    [16" claim-type="Currently amended] 16. The refrigerating device of claim 15, wherein the microprocessor using the fuzzy logic algorithm obtains a value in a calculation process for opening and closing the valve.
    [17" claim-type="Currently amended] An evaporator, a compressor, a condenser, an expansion valve, and everything that connects the closed cooling system to form a cold system for circulation of the refrigerant;
    A refrigerant fluid filled in the capacitor;
    A sensor for measuring a refrigerant fluid level of the capacitor and providing a measurement signal;
    An expansion device located between the evaporator and the condenser and selectively changing a degree of restriction of the refrigerant flow passing through the device between the evaporator and the condenser in response to a control signal;
    It is composed of a controller using a fuzzy logic algorithm to minimize or eliminate the flow of gas refrigerant in the evaporator receiving the measurement signal from the sensor to a control signal for controlling the flow of refrigerant from the condenser to the evaporator,
    The controller converts a control signal for selectively opening and closing the valve for adjusting the fluid level of the refrigerant set in the condenser,
    The microprocessor periodically extracts the fluid level measured by the fluid level sensor, calculates a level error value by calculating a difference between the measured level of the refrigerant fluid and a predetermined set level in each of the extracted periods, and then calculates a level error value. The level error is applied to the fuzzy logic algorithm, and the rate of change of the refrigerant is calculated using the difference of the refrigerant fluid measured from the previous extraction period from the refrigerant level measured during the actual extraction cycle. A refrigeration apparatus characterized by applying this level change rate.
    [18" claim-type="Currently amended] 18. The microprocessor of claim 17, wherein the microprocessor using the fuzzy logic algorithm individually determines a degree of membership (negative, zero, or positive) related to the level change rate and the level error value of the refrigerant for a predetermined weight in each calculation. Refrigerating apparatus, characterized in that it can be determined by.
    [19" claim-type="Currently amended] 19. A refrigeration apparatus according to claim 18, wherein the asymmetric correlation element is used to determine the degree of correlation.
    [20" claim-type="Currently amended] An evaporator, a compressor, a condenser, an expansion valve, and everything that connects the closed cooling system to form a cold system for circulation of the refrigerant;
    A refrigerant fluid filled in the capacitor;
    A sensor for measuring a refrigerant fluid level of the capacitor and providing a measurement signal;
    An expansion device located between the evaporator and the condenser and selectively changing a degree of restriction of the refrigerant flow passing through the device between the evaporator and the condenser in response to a control signal;
    It is composed of a controller using a fuzzy logic algorithm to minimize or eliminate the flow of gas refrigerant in the evaporator receiving the measurement signal from the sensor to a control signal for controlling the flow of refrigerant from the condenser to the evaporator,
    The controller converts a control signal for selectively opening and closing the valve for adjusting the fluid level of the refrigerant set in the condenser,
    The microprocessor using the fuzzy logic algorithm applies a fuzzy maximum / minimum method of first performing fuzzy logical product (minimum) inference and then fuzzy logical sum (maximum) inference to calculate the valve opening and closing degree. Refrigerating apparatus characterized in.
    [21" claim-type="Currently amended] An evaporator, a compressor, a condenser, an expansion valve, and everything that connects the closed cooling system to form a cold system for circulation of the refrigerant;
    A refrigerant fluid filled in the capacitor;
    A sensor for measuring a refrigerant fluid level of the capacitor and providing a measurement signal;
    An expansion device located between the evaporator and the condenser and selectively changing a degree of restriction of the refrigerant flow passing through the device between the evaporator and the condenser in response to a control signal;
    It is composed of a controller using a fuzzy logic algorithm to minimize or eliminate the flow of gas refrigerant in the evaporator receiving the measurement signal from the sensor to a control signal for controlling the flow of refrigerant from the condenser to the evaporator,
    And the fuzzy logic algorithm uses a variable which is determined as an input variable value of the refrigerant fluid measured by the sensor within a given time as an input value and a variable which is determined as a rate of change of the variable value at that time.
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    同族专利:
    公开号 | 公开日
    WO1997039285A1|1997-10-23|
    DE69731824T2|2005-12-15|
    HK1023176A1|2004-06-11|
    CN1134620C|2004-01-14|
    EP0891520B1|2004-12-01|
    JP3806148B2|2006-08-09|
    CA2251052A1|1997-10-23|
    CN1231721A|1999-10-13|
    US5809795A|1998-09-22|
    JP2000512726A|2000-09-26|
    AU2455297A|1997-11-07|
    EP0891520A1|1999-01-20|
    EP0891520A4|2001-03-28|
    DE69731824D1|2005-01-05|
    TW338792B|1998-08-21|
    AU725476B2|2000-10-12|
    CA2251052C|2003-06-17|
    引用文献:
    公开号 | 申请日 | 公开日 | 申请人 | 专利标题
    法律状态:
    1996-04-12|Priority to US1534796P
    1996-04-12|Priority to US60/015,347
    1997-04-11|Application filed by 킹 로버트 에이., 요크 인터내셔널 코포레이션
    2000-01-25|Publication of KR20000005402A
    2002-10-25|Application granted
    2002-10-25|Publication of KR100339869B1
    优先权:
    申请号 | 申请日 | 专利标题
    US1534796P| true| 1996-04-12|1996-04-12|
    US60/015,347|1996-04-12|
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