CN112511064A - Motor current loop PI controller parameter self-tuning method - Google Patents

Motor current loop PI controller parameter self-tuning method Download PDF

Info

Publication number
CN112511064A
CN112511064A CN202011232941.XA CN202011232941A CN112511064A CN 112511064 A CN112511064 A CN 112511064A CN 202011232941 A CN202011232941 A CN 202011232941A CN 112511064 A CN112511064 A CN 112511064A
Authority
CN
China
Prior art keywords
motor current
motor
controller
period
loop
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202011232941.XA
Other languages
Chinese (zh)
Inventor
张田飞
王梦柯
魏世克
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Luoyang Institute of Electro Optical Equipment AVIC
Original Assignee
Luoyang Institute of Electro Optical Equipment AVIC
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Luoyang Institute of Electro Optical Equipment AVIC filed Critical Luoyang Institute of Electro Optical Equipment AVIC
Priority to CN202011232941.XA priority Critical patent/CN112511064A/en
Publication of CN112511064A publication Critical patent/CN112511064A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • 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
    • H02P23/14Estimation or adaptation of motor parameters, e.g. rotor time constant, flux, speed, current or voltage
    • 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Control Of Electric Motors In General (AREA)

Abstract

The invention relates to a motor current loop PI controller parameter self-tuning method, which is used for self-tuning of motor current loop PI controller parameters; the method comprises the following steps: firstly, under an open-loop mode, applying a voltage instruction to a motor, and sampling the current of the motor by taking the switching period of PWM as a sampling period to obtain a motor current sequence within a period of time; secondly, after the obtained current sequence is processed, the period and the amplitude of a main guide frequency component in the current sequence are obtained, and the gain of the current loop PI controller is obtained through calculation; and finally, calculating according to the Z-N self-setting rule to obtain a proportional coefficient and an integral coefficient of the PI controller. The method is simple and convenient, the defect of manual parameter adjustment is overcome, and the parameter setting of the motor current loop PI controller can be completed quickly and accurately.

Description

Motor current loop PI controller parameter self-tuning method
Technical Field
The invention belongs to the field of motor control, and relates to a parameter self-tuning method for a motor current loop PI controller.
Background
The current loop is the innermost loop in the motor drive and the performance of the current inner loop determines the performance of the entire motor system. The PI controller is the most commonly used controller for the current loop, and the parameters of the PI controller determine the performance of the current loop. The PI controller setting method commonly used in engineering comprises a manual regulation method and a self-setting method. The manual adjustment method is time-consuming and labor-consuming, and requires a strong engineering experience of workers. Self-tuning methods are classified into model-based parameter identification methods and non-model-based methods. The parameter identification method based on the model needs to identify the parameters accurately enough and is not suitable for the occasions with system parameter changes. The method is not based on a model, and the setting parameter has strong adaptability and high robustness.
Disclosure of Invention
Technical problem to be solved
In order to avoid the defects of the prior art, the invention provides a parameter self-tuning method of a motor current loop PI controller, which adopts a parameter self-tuning strategy not based on a model, reduces the time of manual adjustment, and has strong adaptability of the tuned parameters and high robustness compared with the self-tuning strategy based on model parameter identification.
Technical scheme
A motor current loop PI controller parameter self-tuning method is characterized by comprising the following steps:
step 1: in an open loop state, applying a voltage command u-h to a motor, collecting motor current I by taking a PWM period T as a sampling period, applying the voltage command u-h when I is greater than I and I is greater than 0, and collecting motor current for more than 10 seconds when I is less than-I to obtain an original motor current sequence I (k);
the voltage command h is more than or equal to 3 multiplied by R multiplied by I, R is the nominal resistance value of the motor, I is the current switching threshold value, and I is more than or equal to 5 multiplied by delta I; delta I is the resolution of the current sampling of the motor;
step 2: low-pass filtering the original motor current sequence i (k) to obtain a filtered motor current sequence i/(k) (ii) a For motor current sequence i/(k) Performing fast Fourier transform to obtain a motor current sequence i/(k) The period Tu and amplitude d of the pilot frequency domain portion on the frequency domain component;
and step 3: performing data processing on the period Tu and the amplitude d by adopting a relay feedback method to obtain a gain Ku of a motor current loop PI controller; and calculating to obtain a proportional coefficient Kp integral coefficient Ki of the motor current loop PI controller by adopting a Z-N controller setting rule:
Figure BDA0002765811110000021
wherein: d is the filtered motor current sequence i/(k) The amplitude of the dominant frequency component obtained by fast Fourier transform, Tu is the filtered motor current sequence i/(k) The period of the dominant frequency component resulting from the fast fourier transform.
The low-pass filtering process of the step 2 is as follows: i.e. i/(k)=α×i(k)+(1-α)×i/And (k-1), alpha is a low-pass filter coefficient.
Advantageous effects
The invention provides a parameter self-tuning method of a motor current loop PI controller, which is used for self-tuning of the motor current loop PI controller parameters; the method comprises the following steps: firstly, under an open-loop mode, applying a voltage instruction to a motor, and sampling the current of the motor by taking the switching period of PWM as a sampling period to obtain a motor current sequence within a period of time; secondly, after the obtained current sequence is processed, the period and the amplitude of a main guide frequency component in the current sequence are obtained, and the gain of the current loop PI controller is obtained through calculation; and finally, calculating according to the Z-N self-setting rule to obtain a proportional coefficient and an integral coefficient of the PI controller. The method is simple and convenient, the defect of manual parameter adjustment is overcome, and the parameter setting of the motor current loop PI controller can be completed quickly and accurately.
Drawings
Fig. 1 is a motor current loop control block diagram.
FIG. 2 is a parameter self-tuning flow of a motor current loop PI controller.
FIG. 3 is a schematic diagram of a voltage command applied by the motor.
Fig. 4 is a response curve of motor applied voltage and motor current.
Fig. 5 is a process flow diagram of a motor current sequence.
Detailed Description
The invention will now be further described with reference to the following examples and drawings:
in a specific implementation case, the nominal resistance R of the motor is 2.49 Ω, the rated voltage is 24V, the sampling resolution of the driver current is 5mA, and the desired closed-loop bandwidth f of the current loop is 1 kHZ.
As shown in fig. 1, it is a control block diagram of a motor current loop, and the motor current loop adopts a PI controller.
As shown in fig. 2, the method for self-tuning the parameters of the motor current loop PI controller of the present invention includes the following steps:
step 1, as shown in fig. 3, in an open loop state, starting to apply a voltage command u-h (h >0) to a motor, collecting a motor current I with a PWM period T as a sampling period, and then applying different voltage commands according to the situation of the current I, wherein when I > I (I >0), the voltage command u-h is applied, when I < -I, the voltage command u-h is applied, and the current within a certain period of time is collected and stored, so as to obtain an original motor current sequence I (k), and a current response curve is shown in fig. 4;
step 2, as shown in fig. 5, performing low-pass filtering on the motor current sequence i (k) acquired in step 1 to obtain a filtered motor current sequence i/(k) For motor current sequence i/(k) Performing fast Fourier transform to obtain a motor current sequence i/(k) The period Tu and amplitude d of the pilot frequency domain portion on the frequency domain component;
and 3, obtaining the gain Ku of the motor current loop PI controller according to a data processing mode of a relay feedback method, and calculating to obtain a proportional coefficient Kp and an integral coefficient Ki of the motor current loop PI controller according to a setting rule of the Z-N controller.
In step 1, the voltage command h and the current switching threshold I are selected according to the following formula,
Figure BDA0002765811110000031
wherein, Δ I is the resolution of the motor current sampling, and R is the nominal resistance value of the motor. According to the implementation case, the current sampling resolution is 5mA, in the implementation case, I is 0.1A, and the command voltage h is 1V. The motor current curve obtained after the motor applies the voltage command is shown in fig. 4.
In step 2, the original motor current sequence i (k) is subjected to low-pass filtering according to the following formula to obtain a filtered motor current sequence i/(k),
i/(k)=α×i(k)+(1-α)×i/(k-1)
Where α is a low-pass filter coefficient, which is selected in relation to the desired bandwidth of the current loop of the motor, and for the embodiment where the desired bandwidth f of the current loop is 1kHZ, α is selected
Figure BDA0002765811110000041
In step 3, the gain Ku of the motor current loop PI controller is obtained according to a data processing mode of a relay feedback method, the proportional coefficient Kp and the integral coefficient Ki of the motor current loop PI controller are calculated according to the setting rule of a Z-N controller, as shown in the following formula,
Figure BDA0002765811110000042
wherein h is the amplitude of the voltage command applied in the step 1, and d is the filtered motor current sequence i/(k) The amplitude of the dominant frequency component obtained by fast Fourier transform, Tu is the filtered motor current sequence i/(k) The period of the dominant frequency component resulting from the fast fourier transform.

Claims (2)

1. A motor current loop PI controller parameter self-tuning method is characterized by comprising the following steps:
step 1: in an open loop state, applying a voltage command u-h to a motor, collecting motor current I by taking a PWM period T as a sampling period, applying the voltage command u-h when I is greater than I and I is greater than 0, and collecting motor current for more than 10 seconds when I is less than-I to obtain an original motor current sequence I (k);
the voltage command h is more than or equal to 3 multiplied by R multiplied by I, R is the nominal resistance value of the motor, I is the current switching threshold value, and I is more than or equal to 5 multiplied by delta I; delta I is the resolution of the current sampling of the motor;
step 2: low-pass filtering the original motor current sequence i (k) to obtain a filtered motor current sequence i/(k) (ii) a For motor current sequence i/(k) Performing fast Fourier transform to obtainSequence of motor currents i/(k) The period Tu and amplitude d of the pilot frequency domain portion on the frequency domain component;
and step 3: performing data processing on the period Tu and the amplitude d by adopting a relay feedback method to obtain a gain Ku of a motor current loop PI controller; and calculating to obtain a proportional coefficient Kp integral coefficient Ki of the motor current loop PI controller by adopting a Z-N controller setting rule:
Figure FDA0002765811100000011
wherein: d is the filtered motor current sequence i/(k) The amplitude of the dominant frequency component obtained by fast Fourier transform, Tu is the filtered motor current sequence i/(k) The period of the dominant frequency component resulting from the fast fourier transform.
2. The motor current loop PI controller parameter self-tuning method of claim 1, characterized in that: the low-pass filtering process of the step 2 is as follows: i.e. i/(k)=α×i(k)+(1-α)×i/And (k-1), alpha is a low-pass filter coefficient.
CN202011232941.XA 2020-11-06 2020-11-06 Motor current loop PI controller parameter self-tuning method Pending CN112511064A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011232941.XA CN112511064A (en) 2020-11-06 2020-11-06 Motor current loop PI controller parameter self-tuning method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011232941.XA CN112511064A (en) 2020-11-06 2020-11-06 Motor current loop PI controller parameter self-tuning method

Publications (1)

Publication Number Publication Date
CN112511064A true CN112511064A (en) 2021-03-16

Family

ID=74955399

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011232941.XA Pending CN112511064A (en) 2020-11-06 2020-11-06 Motor current loop PI controller parameter self-tuning method

Country Status (1)

Country Link
CN (1) CN112511064A (en)

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101552589A (en) * 2009-05-14 2009-10-07 上海交通大学 Relay feedback based AC servo system automatic setting method
CN102426417A (en) * 2011-12-13 2012-04-25 中冶南方(武汉)自动化有限公司 PI (Proportional Integral) parameter mixed setting method
CN104426448A (en) * 2013-08-21 2015-03-18 广东美的制冷设备有限公司 Control parameter self-setting method for compressor
CN108696210A (en) * 2018-05-21 2018-10-23 东南大学 Direct current generator current loop controller methods of self-tuning based on parameter identification
CN110853980A (en) * 2019-12-05 2020-02-28 福州大学 Self-adaptive suppression method for high-frequency holding noise of electromagnetic switch
CN111404431A (en) * 2020-04-10 2020-07-10 驰驱电气(嘉兴)有限公司 Self-tuning control method for control parameters of servo motor

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101552589A (en) * 2009-05-14 2009-10-07 上海交通大学 Relay feedback based AC servo system automatic setting method
CN102426417A (en) * 2011-12-13 2012-04-25 中冶南方(武汉)自动化有限公司 PI (Proportional Integral) parameter mixed setting method
CN104426448A (en) * 2013-08-21 2015-03-18 广东美的制冷设备有限公司 Control parameter self-setting method for compressor
CN108696210A (en) * 2018-05-21 2018-10-23 东南大学 Direct current generator current loop controller methods of self-tuning based on parameter identification
CN110853980A (en) * 2019-12-05 2020-02-28 福州大学 Self-adaptive suppression method for high-frequency holding noise of electromagnetic switch
CN111404431A (en) * 2020-04-10 2020-07-10 驰驱电气(嘉兴)有限公司 Self-tuning control method for control parameters of servo motor

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
黄操: "带锯床液压系统研究与设计", 《中国优秀硕士学位论文全文数据库(工程科技Ⅰ辑)》 *

Similar Documents

Publication Publication Date Title
JP2005044349A (en) Improved pattern recognition adaptive controller
CN108980441B (en) Proportional electromagnetic valve driving method based on PWM
CN110520804B (en) Method for determining a control variable of a hydraulic system
US6959219B2 (en) Control apparatus having a limit cycle auto-tuning function
DE102015012462B3 (en) Method and device for sensorless regulation of a ventilator powered by an EC motor
WO2016207383A1 (en) Method for determining current-dependent and/or rotational angle position-dependent characteristic variables of an electrical machine, and frequency converter
WO1998054628A1 (en) Method for controlling a time-lagged process with compensation, and a controlling device for carrying out said method
EP3642856A1 (en) Method and device for controlling a part movable by means of a coil, and solenoid valve
CN112511064A (en) Motor current loop PI controller parameter self-tuning method
DE112009001473T5 (en) Systems and methods for updating a valve trip current in mass flow controllers
JP4955237B2 (en) Control system and method for time-varying control target with dead time
JP2007045687A (en) Apparatus and method for manufacturing single crystal
JP2008310651A (en) Two-degree-of-freedom control device and its control method
WO2017215822A1 (en) Method for adjusting an amplitude of a voltage injection of a rotating, multi-phase electric machine, which electric machine is fed by means of a pwm-controlled inverter
US20030214281A1 (en) Method of detecting steady-state convergence of a signal
US11353843B2 (en) Automatic evaluation of a machine behaviour
CN111245216B (en) Correction method and device of PFC circuit and electronic equipment
CN113485091B (en) PID controller parameter setting method, device, equipment and storage medium
CN115037199A (en) Direct current motor control method and storage medium
EP4260454A1 (en) Electrical system and method and apparatus for determining a value profile of a controlled variable
CN114020073A (en) Heating furnace PID upper and lower limit self-adaption based control method and system
JP2005223960A (en) Controller of motor
CN112682392A (en) Hydraulic control method and device
CN113966576A (en) Automatic determination of control parameters for a voltage regulator of a synchronous machine
Cho A Study on Optimal PID Controller Design Ensure the Absolute Stability

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
WD01 Invention patent application deemed withdrawn after publication
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20210316