CN112096649A - Vehicle-mounted air conditioner fan control method, storage medium and system - Google Patents

Vehicle-mounted air conditioner fan control method, storage medium and system Download PDF

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Publication number
CN112096649A
CN112096649A CN202010884230.4A CN202010884230A CN112096649A CN 112096649 A CN112096649 A CN 112096649A CN 202010884230 A CN202010884230 A CN 202010884230A CN 112096649 A CN112096649 A CN 112096649A
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CN
China
Prior art keywords
direct current
brushless direct
speed
current motor
parameters
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Pending
Application number
CN202010884230.4A
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Chinese (zh)
Inventor
向博文
罗杰
桂临秋
刘超群
杨旭
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Wuhan University of Technology WUT
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Wuhan University of Technology WUT
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Application filed by Wuhan University of Technology WUT filed Critical Wuhan University of Technology WUT
Priority to CN202010884230.4A priority Critical patent/CN112096649A/en
Publication of CN112096649A publication Critical patent/CN112096649A/en
Pending legal-status Critical Current

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Classifications

    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F04POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
    • F04DNON-POSITIVE-DISPLACEMENT PUMPS
    • F04D27/00Control, e.g. regulation, of pumps, pumping installations or systems
    • F04D27/004Control, e.g. regulation, of pumps, pumping installations or systems by varying driving speed
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60HARRANGEMENTS OF HEATING, COOLING, VENTILATING OR OTHER AIR-TREATING DEVICES SPECIALLY ADAPTED FOR PASSENGER OR GOODS SPACES OF VEHICLES
    • B60H1/00Heating, cooling or ventilating [HVAC] devices
    • B60H1/00642Control systems or circuits; Control members or indication devices for heating, cooling or ventilating devices
    • B60H1/00814Control systems or circuits characterised by their output, for controlling particular components of the heating, cooling or ventilating installation
    • B60H1/00821Control systems or circuits characterised by their output, for controlling particular components of the heating, cooling or ventilating installation the components being ventilating, air admitting or air distributing devices
    • B60H1/00828Ventilators, e.g. speed control
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02PCONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
    • H02P23/00Arrangements or methods for the control of AC motors characterised by a control method other than vector control
    • H02P23/0004Control strategies in general, e.g. linear type, e.g. P, PI, PID, using robust control
    • H02P23/0013Control strategies in general, e.g. linear type, e.g. P, PI, PID, using robust control using fuzzy control
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02PCONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
    • H02P6/00Arrangements for controlling synchronous motors or other dynamo-electric motors using electronic commutation dependent on the rotor position; Electronic commutators therefor
    • H02P6/06Arrangements for speed regulation of a single motor wherein the motor speed is measured and compared with a given physical value so as to adjust the motor speed

Abstract

The invention relates to a control method of a vehicle-mounted air-conditioning fan, which comprises the steps of acquiring the actual rotating speed and current of a brushless direct current motor in the speed regulation process in real time and acquiring the set rotating speed of the brushless direct current motor; counting actual adjusting parameters of the brushless direct current motor during speed regulation according to the actual rotating speed and the set rotating speed; establishing an evaluation model according to the actual adjusting parameters and the set adjusting parameters; and utilizing the output of the evaluation model as an input of a fuzzy regulator to regulate the parameters of the PID through the fuzzy regulator. The invention also provides a storage medium and a vehicle-mounted air-conditioning fan control system, and the vehicle-mounted air-conditioning fan control method, the storage medium and the system provided by the invention realize PID parameter self-adaptive adjustment by combining the evaluation model and the fuzzy regulator so as to obtain the optimal dynamic speed regulation performance.

Description

Vehicle-mounted air conditioner fan control method, storage medium and system
Technical Field
The invention relates to the field of vehicle-mounted motor control, in particular to a vehicle-mounted air conditioner fan control method, a storage medium and a system.
Background
The vehicle-mounted air conditioning fan is an important component unit in a vehicle-mounted air conditioning system and is used as an air source of an air conditioner, and the fan sends cold air or hot air generated by a refrigerator or a heater to the vehicle interior for circulation, so that the effect of refrigeration or heating is achieved. The quality of the fan directly influences the comfort of passengers to the air conditioning system, so that the control performance of the vehicle-mounted air conditioning fan is optimized, and the method has practical significance.
The vehicle-mounted air conditioner fan generally adopts a brushless direct current motor as an execution part, realizes speed regulation, speed regulation and other application or protection functions through a fan controller, and has the characteristics of high efficiency, low power consumption, long service life, low noise and the like. The traditional fan controller control strategy generally adopts PID control, the PID control has a simple structure and strong robustness, and the parameter adjustment does not depend on a precise and specific model of a control object. However, in the control application of the existing vehicle-mounted air conditioner fan, due to the complexity of a parameter setting method, the setting of the PID parameters is generally not ideal or even poor, and the existing PID parameters are set once and cannot automatically adapt to the change of the fan parameters caused by the environment or the service time. Due to the factors, parameters such as rise time, peak time, adjusting time, overshoot and maximum current of the vehicle-mounted air conditioning fan in the speed adjusting process are difficult to reach the optimal level, and the problems such as too long fan speed adjusting time, fan adjusting oscillation, too large driving current and the like can be caused in practice by reflection, so that the service life of the vehicle-mounted air conditioning fan and the comfort of an air conditioning system are influenced.
Therefore, the invention designs a vehicle-mounted air-conditioning fan control method based on an evaluation model, realizes PID parameter self-adaptive adjustment by combining a fuzzy regulator to obtain the optimal dynamic speed regulation performance, and realizes that the vehicle-mounted fan operates in the fastest, safest and most stable mode.
Disclosure of Invention
In view of the above, the invention provides a vehicle-mounted air-conditioning fan control method, a storage medium and a system, which solve the problem that the service life of a vehicle-mounted air-conditioning fan and the comfort of an air-conditioning system are influenced in the traditional vehicle-mounted air-conditioning fan control process.
In order to achieve the above object, the technical solution of the present invention for solving the technical problem is to provide a method for controlling a vehicle-mounted air-conditioning fan, comprising the steps of: acquiring actual rotating speed and current of the brushless direct current motor in the speed regulating process in real time, and acquiring set rotating speed of the brushless direct current motor; counting actual adjusting parameters of the brushless direct current motor during speed regulation according to the actual rotating speed and the set rotating speed; establishing an evaluation model according to the actual adjusting parameters and the set adjusting parameters; and utilizing the output of the evaluation model as an input of a fuzzy regulator to regulate the parameters of the PID through the fuzzy regulator.
Further, the step of counting the actual adjusting parameters of the brushless direct current motor during speed regulation according to the actual rotating speed and the set rotating speed comprises the following steps: counting the rise time of the brushless direct current motor in the speed regulation process; counting the overshoot of the brushless direct current motor in the speed regulation process; counting the peak time in the speed regulation process of the brushless direct current motor; counting the adjusting time of the brushless direct current motor in the speed adjusting process; and counting the maximum current in the speed regulation process of the brushless direct current motor.
Further, the step of constructing an evaluation model according to the actual adjustment parameters and the set adjustment parameters comprises the steps of: setting adjustment parameters; establishing a functional relation between the set adjusting parameters and the actual adjusting parameters; and constructing an evaluation model by using the functional relation.
Further, the using the output of the evaluation model as the input of the fuzzy regulator to regulate the parameters of the PID by the fuzzy regulator comprises the steps of: taking the input of the evaluation model as the input of a fuzzy regulator; and adjusting the parameters of the PID by a fuzzy adjuster.
Further, the actual rotating speed of the brushless direct current motor in the speed regulating process is obtained through a back electromotive force detection method.
Further, the current of the brushless direct current motor in the speed regulation process is the current value of the bus.
Further, the adjusting parameters include a rise time, a peak time, an adjusting time, an overshoot and a maximum current of the brushless direct current motor in the speed adjusting process, wherein the rise time is a time taken by the brushless direct current motor to increase an actual rotating speed from 0 to a set rotating speed of 80% in the speed adjusting process; the overshoot is the amount exceeding the set rotating speed after the brushless direct current motor accelerates to the set rotating speed; the peak time is the time from 0 to the highest rotating speed of the brushless direct current motor; the adjusting time is the time used in the whole process of increasing the actual rotating speed of the brushless direct current motor from 0 to the set rotating speed; the maximum current of the brushless direct current motor in the speed regulation process is the peak value of the current passing through the brushless direct current motor in the whole speed regulation process.
The present invention also provides a storage medium having a computer program stored therein, wherein the computer program is configured to execute a vehicle-mounted air-conditioning fan control method when running.
The invention also provides a vehicle-mounted air-conditioning fan control system which comprises a processor and a memory, wherein the memory is stored with a computer program, and the computer program is executed by the processor to realize the vehicle-mounted air-conditioning fan control method.
Compared with the prior art, the vehicle-mounted air-conditioning fan control method, the storage medium and the system provided by the invention have the following beneficial effects:
the evaluation model is built by actual regulating parameters and set regulating parameters, so that the performance of the vehicle-mounted air conditioner fan is evaluated, and the parameters of the PID are adjusted by combining the fuzzy regulator according to the evaluation result, so that the PID parameters are adjusted in a self-adaptive mode, and the optimal dynamic speed regulation performance is obtained.
The above-described embodiments of the present invention should not be construed as limiting the scope of the present invention. Any other corresponding changes and modifications made according to the technical idea of the present invention should be included in the protection scope of the present invention.
Drawings
Fig. 1 is a schematic step flow diagram of a method for controlling a vehicle-mounted air conditioner fan according to a first embodiment of the present invention;
FIG. 2 is a flowchart illustrating sub-steps of step S2 in FIG. 1;
FIG. 3 is a flowchart illustrating sub-steps of step S3 of FIG. 1;
fig. 4 is a flowchart illustrating sub-steps of step S4 in fig. 1.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, the method for controlling a vehicle-mounted air conditioner blower according to the present invention includes:
s1, acquiring the actual rotating speed and current of the brushless direct current motor in the speed regulating process in real time, and acquiring the set rotating speed of the brushless direct current motor;
specifically, a conventional driving member of a vehicle-mounted air conditioner fan usually employs a brushless dc motor, and detects an actual rotation speed of the brushless dc motor by a back electromotive force zero crossing point in a back electromotive force detection method. The set rotating speed is the theoretical speed of the brushless direct current motor when the brushless direct current motor is used for speed regulation, namely the theoretical ideal rotating speed of the brushless direct current motor when the brushless direct current motor is used for speed regulation.
It is understood that back electromotive force refers to electromotive force generated by a tendency of a change in counter current. Back emf typically occurs in electromagnetic coils such as relay coils, solenoid valves, contactor coils, motors, inductors, and the like.
When the DC motor is started initially, the exciting winding establishes one magnetic field, the armature current generates another magnetic field, and the two magnetic fields interact with each other to start the motor to run. The armature winding rotates in the magnetic field, thus producing a generator effect. In effect rotating the armature generates an induced electromotive force, opposite in polarity to the armature voltage, which is referred to as a back electromotive force.
It can be understood that the current of the brushless DC motor is collected by the current collecting device during speed regulation, and the current collecting device can be a device such as an ammeter which can directly detect the magnitude of the current in real time.
Further, the current collecting device collects a current value at a bus of the brushless direct current motor.
In this embodiment, a signal is generated to the brushless dc motor by the upper computer so that the brushless dc motor is set to adjust the speed, and the preset rotation speed is stored in the upper computer.
It can be understood that the upper computer may be a computer, a server, or other terminal equipment with computing capability.
S2, counting the actual adjusting parameters of the brushless DC motor during speed regulation according to the actual rotating speed and the set rotating speed;
specifically, the adjustment parameters include a rise time, a peak time, an adjustment time, an overshoot amount, and a maximum current of the brushless dc motor during the speed adjustment process of the brushless dc motor, where the rise time is a time taken by the brushless dc motor during the speed adjustment process when the actual rotation speed is increased from 0 to a set rotation speed of 80%, and for example, when the set rotation speed is 100r/min, the rise time is a time taken by the brushless dc motor during the actual rotation speed is increased from 0 to 100 r/min.
The overshoot is an amount exceeding the set rotation speed after the brushless dc motor accelerates to the set rotation speed, and when the brushless dc motor accelerates from 0 to the set rotation speed, it is difficult to achieve the accuracy of stopping after just accelerating to the set rotation speed, but generally, the brushless dc motor accelerates to exceed the set rotation speed and then slowly decelerates to the set rotation speed.
It is understood that the amount of the rotation exceeding the set rotation is the percentage of the actual rotation exceeding the set rotation.
The peak time is the time taken for the brushless dc motor to rotate from 0 to the maximum rotational speed.
The adjustment time is the time used in the whole process of increasing the actual rotating speed of the brushless direct current motor from 0 to the set rotating speed.
The maximum current of the brushless direct current motor in the speed regulation process is the peak value of the current passing through the brushless direct current motor in the whole speed regulation process.
S3, constructing an evaluation model according to the actual adjusting parameters and the set adjusting parameters;
specifically, the actual adjustment parameter is an adjustment parameter counted in the speed regulation process of the brushless direct current motor. The set adjusting parameters are ideal adjusting parameters of the brushless direct current motor in the speed regulating process. Such as ideal rise time, ideal overshoot, ideal peak time, ideal overshoot, ideal settling time, and ideal maximum current.
It is understood that the set adjustment parameters are human settings, and are generally the best adjustment parameters obtained through long-term experience accumulation. That is, the brushless dc motor performs the speed regulation process according to the set regulation parameters, so that the speed regulation effect is optimal.
In the embodiment, the actual adjusting parameter is used as an input, the set adjusting parameter is used as a reference, and a loss function model, namely an evaluation model, between the actual adjusting parameter and the set adjusting parameter is established, so that after the evaluation model is formed, the adjusting parameter is input into the evaluation model, namely, the evaluation value of the adjusting parameter can be output, and the performance of the brushless direct current motor with the adjusting parameter input, namely, the performance of the vehicle-mounted air conditioning fan is evaluated by using the evaluation value.
It is to be understood that the evaluation value may be expressed in any form, and the criterion thereof may be set by artificially adjusting a function for constructing the evaluation model. For example, the evaluation value is expressed in a numerical form, and the function is adjusted to make the evaluation value output by the evaluation model larger, the performance of the corresponding vehicle-mounted air conditioner fan is poorer.
Further, the evaluation value output by the evaluation model may also be divided into an evaluation value and an evaluation total value of each data in the adjustment parameter corresponding to each data in the adjustment parameter, so as to weight more important data in the adjustment parameter. For example, when the adjustment time is the most important of the adjustment parameters, the data of the adjustment time is used as the maximum weight for evaluation, and when the adjustment time in the actual adjustment parameters is very close to the adjustment time in the set adjustment parameters, the evaluation result of the vehicle-mounted air conditioner corresponding to the evaluation is still improved even if other data are not ideal.
It is to be understood that the function for constructing the evaluation model may be any function as long as the function relationship is established with the actual adjustment parameter as an input and the set adjustment parameter as a reference.
S4, using the output of the evaluation model as the input of the fuzzy regulator to regulate the parameters of the PID through the fuzzy regulator;
specifically, after the evaluation value is obtained by using the evaluation model, the evaluation value is fuzzified and converted into a fuzzy linguistic variable which is used as the input of the fuzzy controller. Based on the fuzzy input quantity and the rule base, the inference is carried out by using fuzzy logic and a fuzzy inference method to obtain a fuzzy control signal. And converting the fuzzy control signal obtained by inference into a definite PID parameter adjusting value, and adjusting the PID parameter of the control system so as to adjust the speed regulation of the brushless direct current motor in the vehicle-mounted air conditioner fan by utilizing the PID.
Referring to fig. 2, step S2 further includes the sub-steps of:
s21, counting the rise time of the brushless DC motor in the speed regulation process;
specifically, according to the set rotating speed, the time used by the brushless direct current motor in the speed regulation process from 0 to 80% of the set rotating speed is recorded.
S22, counting the overshoot of the brushless DC motor in the speed regulation process;
specifically, the actual rotating speed of the brushless direct current motor is recorded to exceed the set rotating speed in the speed regulating process.
S23, counting the peak time in the speed regulation process of the brushless direct current motor;
specifically, the time taken by the actual rotating speed of the brushless direct current motor from 0 to the maximum value in the speed regulating process is recorded.
S24, counting the adjusting time of the brushless DC motor in the speed adjusting process;
specifically, the time used in the whole speed regulating process of the brushless direct current motor is recorded.
S25, acquiring the maximum current in the speed regulation process of the brushless direct current motor;
specifically, the maximum value of the current value in the whole speed regulating process of the brushless direct current motor is recorded.
Referring to fig. 3, step S3 further includes the sub-steps of:
s31, setting adjustment parameters;
specifically, the set adjustment parameters are also set manually, that is, the adjustment parameters set by the brushless dc motor are set to be different by human experience.
S32, establishing a functional relation between the set adjusting parameters and the actual adjusting parameters;
specifically, a functional relationship is established in which an actual adjustment parameter is used as an input and an adjustment parameter is set as a reference.
S33, constructing an evaluation model by using the functional relation;
specifically, the evaluation model is formed by weighted correction using the functional relationship in step S32.
It is understood that the process of building the model may be based on a neural network.
Referring to fig. 4, step S4 further includes the sub-steps of:
s41, taking the input of the evaluation model as the input of the fuzzy regulator;
specifically, after the evaluation model is constructed, the actual adjustment parameters are input, and an evaluation value can be obtained and used as the input of the fuzzy adjuster.
S42, adjusting the parameters of the PID through a fuzzy regulator;
specifically, after the evaluation value is input into the fuzzy regulator, the fuzzy regulator converts the evaluation value into a fuzzy language, and changes parameters of the PID through the fuzzy language so as to improve the working effect of the air-conditioning vehicle-mounted fan controlled by the PID.
The invention also provides a storage medium having a computer program stored therein, wherein the computer program is arranged to perform the above-mentioned method steps when run. The storage medium may include, for example, a floppy disk, an optical disk, a DVD, a hard disk, a flash Memory, a usb-disk, a CF card, an SD card, an MMC card, an SM card, a Memory Stick (Memory Stick), an XD card, etc.
A computer software product is stored on a storage medium and includes instructions for causing one or more computer devices (which may be personal computer devices, servers or other network devices, etc.) to perform all or a portion of the steps of the method of the present invention.
The invention also provides a vehicle-mounted air-conditioning fan control system which comprises a processor and a memory, wherein the memory is stored with a computer program, and the computer program is executed by the processor to realize the vehicle-mounted air-conditioning fan control method.
Compared with the prior art, the vehicle-mounted air-conditioning fan control method, the storage medium and the system provided by the invention have the following beneficial effects:
the evaluation model is built by actual regulating parameters and set regulating parameters, so that the performance of the vehicle-mounted air conditioner fan is evaluated, and the parameters of the PID are adjusted by combining the fuzzy regulator according to the evaluation result, so that the PID parameters are adjusted in a self-adaptive mode, and the optimal dynamic speed regulation performance is obtained.
The above-described embodiments of the present invention should not be construed as limiting the scope of the present invention. Any other corresponding changes and modifications made according to the technical idea of the present invention should be included in the protection scope of the present invention.

Claims (9)

1. A control method for a vehicle-mounted air conditioner fan is characterized by comprising the following steps:
acquiring actual rotating speed and current of the brushless direct current motor in the speed regulating process in real time, and acquiring set rotating speed of the brushless direct current motor;
counting actual adjusting parameters of the brushless direct current motor during speed regulation according to the actual rotating speed and the set rotating speed;
establishing an evaluation model according to the actual adjusting parameters and the set adjusting parameters; and
the output of the evaluation model is used as an input to a fuzzy regulator to regulate the parameters of the PID by the fuzzy regulator.
2. The method as claimed in claim 1, wherein the step of counting the actual adjustment parameters of the brushless dc motor during speed regulation according to the actual speed and the set speed comprises the steps of:
counting the rise time of the brushless direct current motor in the speed regulation process;
counting the overshoot of the brushless direct current motor in the speed regulation process;
counting the peak time in the speed regulation process of the brushless direct current motor;
counting the adjusting time of the brushless direct current motor in the speed adjusting process; and
and counting the maximum current of the brushless direct current motor in the speed regulation process.
3. The method as claimed in claim 1, wherein the step of constructing an evaluation model based on the actual tuning parameters and the set tuning parameters comprises the steps of:
setting adjustment parameters;
establishing a functional relation between the set adjusting parameters and the actual adjusting parameters; and
and constructing an evaluation model by using the functional relation.
4. The vehicle air conditioner fan control method according to claim 1, wherein said using the output of the evaluation model as the input of the fuzzy regulator to regulate the parameters of the PID by the fuzzy regulator comprises the steps of:
taking the input of the evaluation model as the input of a fuzzy regulator; and
and adjusting the parameters of the PID through a fuzzy adjuster.
5. The vehicle-mounted air conditioner blower control method according to claim 1, characterized in that:
the actual rotating speed of the brushless direct current motor in the speed regulating process is obtained by a back electromotive force detection method.
6. The vehicle-mounted air conditioner blower control method according to claim 1, characterized in that:
the current of the brushless direct current motor in the speed regulation process is the current value of the bus.
7. The vehicle-mounted air conditioner blower control method according to claim 1, characterized in that:
the adjusting parameters comprise rising time, peak time, adjusting time, overshoot and the maximum current of the brushless direct current motor in the speed adjusting process, wherein the rising time is the time for increasing the actual rotating speed from 0 to 80% of the set rotating speed in the speed adjusting process of the brushless direct current motor;
the overshoot is the amount exceeding the set rotating speed after the brushless direct current motor accelerates to the set rotating speed;
the peak time is the time from 0 to the highest rotating speed of the brushless direct current motor;
the adjusting time is the time used in the whole process of increasing the actual rotating speed of the brushless direct current motor from 0 to the set rotating speed;
the maximum current of the brushless direct current motor in the speed regulation process is the peak value of the current passing through the brushless direct current motor in the whole speed regulation process.
8. A storage medium, characterized by:
the storage medium has stored therein a computer program, wherein the computer program is configured to execute the in-vehicle air-conditioning fan control method of any one of claims 1 to 7 when executed.
9. The vehicle-mounted air conditioner fan control system is characterized in that:
the vehicle-mounted air-conditioning fan control system comprises a processor and a memory, wherein the memory is stored with a computer program, and the computer program is executed by the processor to realize the vehicle-mounted air-conditioning fan control method according to any one of claims 1 to 7.
CN202010884230.4A 2020-08-28 2020-08-28 Vehicle-mounted air conditioner fan control method, storage medium and system Pending CN112096649A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010884230.4A CN112096649A (en) 2020-08-28 2020-08-28 Vehicle-mounted air conditioner fan control method, storage medium and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010884230.4A CN112096649A (en) 2020-08-28 2020-08-28 Vehicle-mounted air conditioner fan control method, storage medium and system

Publications (1)

Publication Number Publication Date
CN112096649A true CN112096649A (en) 2020-12-18

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Citations (9)

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Publication number Priority date Publication date Assignee Title
US5909370A (en) * 1997-12-22 1999-06-01 Honeywell Inc. Method of predicting overshoot in a control system response
CN102968055A (en) * 2012-12-07 2013-03-13 上海电机学院 Fuzzy PID (Proportion Integration Differentiation) controller based on genetic algorithm and control method thereof
CN103984234A (en) * 2014-05-15 2014-08-13 张万军 Electro hydraulic servo system self-correction fuzzy PID control method
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CN106444363A (en) * 2016-12-14 2017-02-22 浙江中控技术股份有限公司 PID (proportion integration differentiation) parameter tuning method and tuning system
CN107508506A (en) * 2017-09-22 2017-12-22 哈尔滨理工大学 A kind of brshless DC motor fuzzy-adaptation PID control governing system and method
CN109639207A (en) * 2018-12-29 2019-04-16 宝鸡文理学院 Synchronous motor energy-saving fuzzy controller method
CN110395087A (en) * 2019-07-31 2019-11-01 福建省汽车工业集团云度新能源汽车股份有限公司 A kind of vehicle intelligent air conditioning control method and system based on fuzzy-adaptation PID control
CN111800059A (en) * 2020-08-17 2020-10-20 珠海格力电器股份有限公司 Motor control method and device

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5909370A (en) * 1997-12-22 1999-06-01 Honeywell Inc. Method of predicting overshoot in a control system response
CN102968055A (en) * 2012-12-07 2013-03-13 上海电机学院 Fuzzy PID (Proportion Integration Differentiation) controller based on genetic algorithm and control method thereof
CN103984234A (en) * 2014-05-15 2014-08-13 张万军 Electro hydraulic servo system self-correction fuzzy PID control method
CN105048896A (en) * 2015-07-08 2015-11-11 河南科技大学 Brushless DC motor direct torque adaptive fuzzy control method
CN106444363A (en) * 2016-12-14 2017-02-22 浙江中控技术股份有限公司 PID (proportion integration differentiation) parameter tuning method and tuning system
CN107508506A (en) * 2017-09-22 2017-12-22 哈尔滨理工大学 A kind of brshless DC motor fuzzy-adaptation PID control governing system and method
CN109639207A (en) * 2018-12-29 2019-04-16 宝鸡文理学院 Synchronous motor energy-saving fuzzy controller method
CN110395087A (en) * 2019-07-31 2019-11-01 福建省汽车工业集团云度新能源汽车股份有限公司 A kind of vehicle intelligent air conditioning control method and system based on fuzzy-adaptation PID control
CN111800059A (en) * 2020-08-17 2020-10-20 珠海格力电器股份有限公司 Motor control method and device

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