CN101989827A - Method for automatically adjusting speed loop control parameters of alternating-current servo system based on inertia identification - Google Patents

Method for automatically adjusting speed loop control parameters of alternating-current servo system based on inertia identification Download PDF

Info

Publication number
CN101989827A
CN101989827A CN2010105514605A CN201010551460A CN101989827A CN 101989827 A CN101989827 A CN 101989827A CN 2010105514605 A CN2010105514605 A CN 2010105514605A CN 201010551460 A CN201010551460 A CN 201010551460A CN 101989827 A CN101989827 A CN 101989827A
Authority
CN
China
Prior art keywords
inertia
identification
speed ring
speed
parameter
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.)
Granted
Application number
CN2010105514605A
Other languages
Chinese (zh)
Other versions
CN101989827B (en
Inventor
李世华
顾浩
吴波
吴蔚
廖富全
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.)
Southeast University
Nanjing Estun Automation Co Ltd
Original Assignee
NANJING ESTUN AUTOMATIC CONTROL TECHNOLOGY Co Ltd
Southeast University
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 NANJING ESTUN AUTOMATIC CONTROL TECHNOLOGY Co Ltd, Southeast University filed Critical NANJING ESTUN AUTOMATIC CONTROL TECHNOLOGY Co Ltd
Priority to CN2010105514605A priority Critical patent/CN101989827B/en
Publication of CN101989827A publication Critical patent/CN101989827A/en
Application granted granted Critical
Publication of CN101989827B publication Critical patent/CN101989827B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Control Of Ac Motors In General (AREA)
  • Control Of Electric Motors In General (AREA)
  • Control Of Multiple Motors (AREA)

Abstract

The invention discloses a method for automatically adjusting speed loop control parameters of an alternating-current servo system based on inertia identification, which comprises the following steps: firstly, a current loop and a servo motor are used as generalized objects, and estimated values of the servo motor and the rotary inertia loaded on the servo motor are obtained by the inertia identification based on a disturbance torque observer; and then a pole collocation method is adopted to adjust proportion parameters and integral parameters of a speed loop proportion integration differentiation (PID) controller automatically. In method for automatically adjusting the speed loop control parameters of the alternating-current servo system based on inertia identification provided by the invention, by combining the inertia identification algorithm based on the disturbance torque observer with the characteristics of an alternating-current servo system, auto-adjustment of the speed loop PID parameters for the alternating-current servo system can be realized under different rotary inertias. Engineers do not need to set and adjust the controller parameters manually according to the experience and the system can automatically carry out the auto-adjustment of the speed loop parameters. Compared with the prior art, the method for automatically adjusting the speed loop control parameters of the alternating-current servo system based on inertia identification is simple in design principle, and has the advantages of good adaptability under the condition that the inertia change of the external load equipment is obvious, and the like.

Description

AC servo speed ring Control Parameter automatic setting method based on inertia identification
Technical field
The present invention relates to a kind of method of motion control field, specifically is that a kind of inertia identification technology of utilizing realizes speed ring PID controller parameter automatic setting method.
Background technology
Develop rapidly along with modern science and technology, the huge advance made of power electronic technology, microelectric technique, digital control technology and modern electrical machine control theory particularly, for advantage has been created in the development of AC servo, particularly at robot, space flight and aviation, Digit Control Machine Tool etc. to motor performance, the demanding field of control precision, AC servo receives increasing concern.
At present, the permagnetic synchronous motor AC servo speed regulating system control structures that adopt two closed loops more, promptly interior ring is current regulator, outer shroud is the speed control ring.Controller adopts the PID adjuster more.Wherein the effect of electric current loop is the rapidity of raising system, in time suppresses the interference of electric current inside; The effect of speed ring is the ability of the anti-load disturbance of raising system, suppresses velocity perturbation.
The controller parameter of AC servo has material impact to the performance of AC servo.When having only the inherent characteristic coupling when the Control Parameter of AC servo driver and servo drive system, just can make servo drive system be operated in optimum state.Therefore, usually require AC servo to carry out adjusting of controller parameter automatically, make servo system obtain good closed-loop control performance according to the actual motion state.
At present, the Control Parameter of AC servo driver mainly is to adjust manually to finish, and largely depends on people's experience in the process of adjusting.The process very complicated owing to adjust is had relatively high expectations to operating personnel, often can't obtain satisfied servo control performance.
In actual governing system, load rotating inertia changes the speed adjusting performance of the system that can influence.In some application scenarios, such as the reel winder control system, along with the reel winder spiral, be folded to total inertia on the motor also along with increase, when inertia increases when big, if controller parameter still remains unchanged, the performance meeting variation of closed-loop system, even cause system's instability.Therefore under system's moment of inertia variation situation greatly, if system can discern the operating mode (moment of inertia) of variation automatically, and in view of the above the system controller parameter is adjusted automatically, not only can improve the control performance of AC servo, and strengthen the intelligent and adaptability of AC servo working conditions change.
Existing P ID parameter self-tuning method mainly contains two kinds: one is based on the method for rule, adopts step response analysis and series of rules to carry out parameter tuning; Another kind is based on the method for model, promptly under the known condition of system model structure, and by test of many times identification objects model parameter, Tuning PID Controller device parameter on this basis then.At Permanent-magnet Synchronous-motor Speed Servo System, document (Li S H, Liu Z G. Adaptive speed control for permanent magnet synchronous motor system with variations of load inertia [J]. IEEE Trans. on Industrial Electronics, 2009,56 (8): 3050-3059) proposed single order self adaptation automatic disturbance rejection controller based on inertia identification.Inertia according to identification is come out utilizes fuzzy reasoning method, and single order automatic disturbance rejection controller parameter is adjusted accordingly, and emulation and experimental result show that single order self adaptation Active Disturbance Rejection Control scheme has stronger adaptivity to the variation of inertia.Document (Wang Shuping, Zhao Zhengming. the PMSM AC servo [J] of band modifying factor fuzzy control. Tsing-Hua University's journal, 2007,47 (1): 9-12) proposed the fuzzy controller of band modifying factor.According to the velocity deviation and the velocity error rate of control system, utilize modifying factor that Fuzzy Controller Parameters is carried out online modification.Simulation result shows that this method has tracking and anti-load disturbance performance preferably.
Summary of the invention
The objective of the invention is to change this situation greatly at system inertia, utilize existing a kind of online inertia identification algorithm (Kim N J based on the perturbing torque observer, Moon H S and Hyun D S, Inertia identification for the speed observer of the low speed control of induction machines[J], IEEE Trans Ind Appl, 1996,32 (6): 1371-1379), pick out the total equivalent moment of inertia of motor and load, then by POLE PLACEMENT USING method automatic adjusting speed ring PID controller parameter.
For realizing above technical purpose, the present invention will take following technical scheme:
A kind of AC servo Control Parameter automatic setting method based on inertia identification, at first with electric current loop and servomotor as generalized object, obtain the moment of inertia estimated value of this servomotor and load thereof by inertia identification; Adopt the POLE PLACEMENT USING method then, to speed ring PID controller parameter
Figure 868786DEST_PATH_IMAGE001
With
Figure 2010105514605100002DEST_PATH_IMAGE002
Carry out automatic adjusting.
Specifically, described AC servo Control Parameter automatic setting method based on inertia identification may further comprise the steps:
(1) identification moment of inertia estimated value
Figure 848243DEST_PATH_IMAGE003
The speed command signal of given one-period, this speed command signal is by amplitude
Figure 2010105514605100002DEST_PATH_IMAGE004
, the cycle
Figure 690297DEST_PATH_IMAGE005
, phase place
Figure 2010105514605100002DEST_PATH_IMAGE006
Definition; By inertia identification module,, calculate the estimated value of the total equivalent moment of inertia of interior servomotor of k cycle and load as follows according to aforementioned given cyclical velocity command signal based on the perturbing torque observer
Figure 711605DEST_PATH_IMAGE007
:
Figure DEST_PATH_IMAGE008
(22)
Wherein,
Figure 650611DEST_PATH_IMAGE009
,
Figure DEST_PATH_IMAGE010
Satisfy following condition respectively:
Figure 535391DEST_PATH_IMAGE011
(7)
Figure DEST_PATH_IMAGE012
(8)
In the formula:
Figure 354487DEST_PATH_IMAGE013
Be meant servomotor and the total equivalent moment of inertia estimated value of load in the k cycle;
Figure DEST_PATH_IMAGE014
It is motor moment of inertia rated value;
Figure 615704DEST_PATH_IMAGE015
Be the perturbing torque measured value
Figure DEST_PATH_IMAGE016
In time
Figure DEST_PATH_IMAGE017
The function that changes;
Figure DEST_PATH_IMAGE018
Be perturbing torque observer limit;
Figure 972998DEST_PATH_IMAGE019
With
Figure DEST_PATH_IMAGE020
Be internal state variable;
Figure 28679DEST_PATH_IMAGE017
Be time quantum;
Figure 845325DEST_PATH_IMAGE021
, be internal state variable
Figure 582337DEST_PATH_IMAGE020
To time quantum
Figure 168039DEST_PATH_IMAGE017
Derivative;
Figure DEST_PATH_IMAGE022
, be internal state variable
Figure 161665DEST_PATH_IMAGE019
To time quantum
Figure 403291DEST_PATH_IMAGE017
Derivative;
Figure 740731DEST_PATH_IMAGE023
Be motor speed; Be the motor electromagnetic torque;
(2) speed ring PID controller parameter is adjusted electric current loop and servomotor as generalized object, electric current loop adopts the PI controller, and it is 1 proportional component that electric current loop equivalence is become gain, to determine the speed ring closed loop transfer function, of AC servo speed ring PID controller controlled device and described servo AC system, adopt the POLE PLACEMENT USING method to obtain speed ring closed loop transfer function, limit, according to the resulting moment of inertia estimated value of step (1) identification
Figure 446519DEST_PATH_IMAGE003
, according to following speed ring PID controller parameter With
Figure 572924DEST_PATH_IMAGE002
Tuning formulae, carry out parameter
Figure 651738DEST_PATH_IMAGE001
With Adjust:
Figure 485144DEST_PATH_IMAGE025
(24)
Figure DEST_PATH_IMAGE026
(25)
Wherein,
Figure 498100DEST_PATH_IMAGE027
Be torque coefficient, Be torque coefficient,
Figure 857723DEST_PATH_IMAGE003
It is the resulting moment of inertia estimated value of identification in the step (1)
Figure 800271DEST_PATH_IMAGE013
,
Figure DEST_PATH_IMAGE028
It is speed ring closed loop transfer function, limit.
Described servomotor is a permagnetic synchronous motor.
According to above technical scheme, can realize following beneficial effect:
The present invention will combine based on the inertia identification algorithm of perturbing torque observer and the characteristic of AC servo, can realize the adjusting certainly of pid parameter of the speed ring of AC servo under the different moment of inertia.The engineering staff does not need rule of thumb manually to set and the conditioning controller parameter, system can finish the speed ring parameter self-tuning automatically, and compared with prior art, it is simple to have design principle, to external loading equipment inertia variation situation greatly, good advantages such as adaptability are arranged.
Description of drawings
Fig. 1 is a system block diagram of the present invention;
Fig. 2 is based on the AC servo Adaptive PID Control schematic diagram of inertia identification;
Fig. 3 is based on the inertia identification structure chart of perturbing torque observer;
Among Fig. 3, frame of broken lines represents that content is the perturbing torque observer;
Fig. 4 is an AC servo inertia identification curve chart;
Among Fig. 4, curve 1 expression inertia measured value, 2 expressions of curve inertia actual value;
Fig. 5 is under the inertia situation of change, before and after controller parameter is adjusted, and the speed responsive comparison diagram;
Among Fig. 5, curve 1 expression speed ring PI controller parameter do not adjust (
Figure 801987DEST_PATH_IMAGE029
,
Figure DEST_PATH_IMAGE030
) permagnetic synchronous motor system speed response schematic diagram; After the adjustment of 2 expressions of curve speed ring PI controller parameter (
Figure 284921DEST_PATH_IMAGE031
, ) permagnetic synchronous motor system speed response schematic diagram.
Embodiment
Accompanying drawing discloses the structural representation of a preferred embodiment involved in the present invention without limitation, explains technical scheme of the present invention below with reference to accompanying drawing.In addition, this embodiment is to implement under the prerequisite in the invention technical scheme, provided detailed execution mode and specific implementation process, but protection scope of the present invention is not limited to following embodiment.
AC servo Control Parameter automatic setting method based on inertia identification of the present invention, at first with electric current loop and servomotor as generalized object, obtain the moment of inertia estimated value of this servomotor and load thereof by inertia identification; Adopt the POLE PLACEMENT USING method then, to speed ring PID controller parameter
Figure 819808DEST_PATH_IMAGE001
With
Figure 995574DEST_PATH_IMAGE002
Carry out automatic adjusting.
Specifically, described AC servo Control Parameter automatic setting method based on inertia identification comprises two following steps:
Step 1: structure chart as shown in Figure 1, it has set up a system based on the AC servo speed ring Control Parameter automatic setting method of inertia identification, wherein, generalized object comprises electric current loop and permagnetic synchronous motor, electric current loop adopts the PI controller, consider that the electric current loop real-time is higher, in design process, electric current loop equivalence can be become gain be 1 proportional component (promptly
Figure 484587DEST_PATH_IMAGE033
), do not consider current response process and delay.Controller is meant the algorithm (as the PID controller) of control, and the inertia identification module is meant the inertia identification algorithm based on the perturbing torque observer.Among Fig. 1
Figure DEST_PATH_IMAGE034
,
Figure 771212DEST_PATH_IMAGE035
,
Figure DEST_PATH_IMAGE036
,
Figure 895025DEST_PATH_IMAGE037
Be respectively velocity setting signal, velocity error, controller output and actual speed output.The speed command signal of given one-period, this speed command signal is by amplitude
Figure 241693DEST_PATH_IMAGE004
, the cycle
Figure 654220DEST_PATH_IMAGE005
, phase place
Figure 246001DEST_PATH_IMAGE006
Definition, as:
Figure DEST_PATH_IMAGE038
, in the inertia identification link, as shown in Figure 3, servomotor and the total equivalent moment of inertia estimated value of load in the k cycle
Figure 489900DEST_PATH_IMAGE007
Calculate and go out by following formula:
Figure 679573DEST_PATH_IMAGE008
(22)
This formula (22) is derived by following mode particularly:
Mechanical movement equation according to permagnetic synchronous motor
Figure 641713DEST_PATH_IMAGE039
(1)
In the formula,
Figure DEST_PATH_IMAGE040
Be the total equivalent moment of inertia of servomotor and load,
Figure 270140DEST_PATH_IMAGE023
Be motor speed,
Figure 135590DEST_PATH_IMAGE041
Be the electromagnetic torque of motor,
Figure DEST_PATH_IMAGE042
Be load torque,
Figure 558481DEST_PATH_IMAGE043
It is the kinetic damping coefficient.
The definition perturbing torque Be all the torque sums except that electromagnetic torque, that is:
Figure 7917DEST_PATH_IMAGE045
(2)
In order to estimate the size of perturbing torque, we design a perturbing torque observer.Because the frequency that actual sample frequency changes far above perturbing torque, so can think perturbing torque
Figure 440036DEST_PATH_IMAGE044
In the sampling period constant, so have
Figure DEST_PATH_IMAGE046
(3)
Can get following state equation by above three formulas:
Figure 906132DEST_PATH_IMAGE047
(4)
Wherein,
Figure DEST_PATH_IMAGE048
, ,
Figure DEST_PATH_IMAGE050
,
Figure 436656DEST_PATH_IMAGE051
,
Figure DEST_PATH_IMAGE052
,
Figure 672465DEST_PATH_IMAGE053
Utilize above-mentioned state equation, can construct estimation
Figure 246928DEST_PATH_IMAGE044
Minimal order observer as follows:
Figure DEST_PATH_IMAGE054
(5)
Wherein, Be the rated value of moment of inertia, Be built-in variable,
Figure 147254DEST_PATH_IMAGE016
Be the perturbing torque estimated value,
Figure 74759DEST_PATH_IMAGE018
Be the limit of perturbing torque observer,
Figure DEST_PATH_IMAGE056
Following formula is carried out Laplace transformation, can obtain
Figure 777398DEST_PATH_IMAGE016
For:
Figure 360826DEST_PATH_IMAGE057
(6)
Introduce variable herein
Figure DEST_PATH_IMAGE058
,
Figure 672859DEST_PATH_IMAGE059
, they satisfy following condition respectively:
Figure DEST_PATH_IMAGE060
(7)
Perturbing torque
Figure 720449DEST_PATH_IMAGE044
Be immesurable physically, we adopt the perturbing torque observer to obtain its estimated value indirectly, wherein
Figure 92525DEST_PATH_IMAGE058
,
Figure 163249DEST_PATH_IMAGE059
Be the part that the perturbing torque observer is formed, belong to the internal state variable of perturbing torque observer.
So the estimated value of perturbing torque can be represented with following formula:
Figure 780437DEST_PATH_IMAGE061
(8)
The variable quantity of inertia
Figure DEST_PATH_IMAGE062
Normally cause that by load variations or evaluated error it can be expressed as:
Figure 682534DEST_PATH_IMAGE063
(9)
In the formula,
Figure 225511DEST_PATH_IMAGE040
Be the total equivalent moment of inertia of servomotor and load, It is the rated value of servomotor moment of inertia.
By formula (1), (5), (9) can obtain
Figure 375050DEST_PATH_IMAGE016
The differential equation as follows:
Figure DEST_PATH_IMAGE064
(10)
Introduce variable again
Figure 695435DEST_PATH_IMAGE065
, and make it satisfy following condition:
Figure DEST_PATH_IMAGE066
(11)
Then
Figure 409313DEST_PATH_IMAGE016
Can be expressed as follows:
Figure 454629DEST_PATH_IMAGE067
(12)
Following formula shows that the estimated value of perturbing torque is made up of 3 parts: inertia changes torque
Figure DEST_PATH_IMAGE068
, damping torque
Figure 912155DEST_PATH_IMAGE069
And load torque
Figure DEST_PATH_IMAGE070
For the value of identification moment of inertia, can provide the speed command test signal of one-period earlier:
Figure 87047DEST_PATH_IMAGE071
(13)
Wherein,
Figure 175089DEST_PATH_IMAGE005
Be the cycle of speed command.After servo system adds this speed command signal, its angular speed will be the one-period signal also during stable state, have:
Figure DEST_PATH_IMAGE072
(14)
Figure 504439DEST_PATH_IMAGE073
(15)
And can obtain by formula (11):
Figure DEST_PATH_IMAGE074
(16)
Figure 765656DEST_PATH_IMAGE075
(17)
Define two signals
Figure DEST_PATH_IMAGE076
With
Figure 795054DEST_PATH_IMAGE077
Inner product be:
Figure DEST_PATH_IMAGE078
(18)
Signal then
Figure 116314DEST_PATH_IMAGE059
With
Figure 870643DEST_PATH_IMAGE079
And
Figure 669972DEST_PATH_IMAGE065
With Inner product be:
Figure 255674DEST_PATH_IMAGE081
(19)
Figure DEST_PATH_IMAGE082
(20)
Formula (12) both sides are taken advantage of together
Figure 249300DEST_PATH_IMAGE079
, and get inner product, the expression formula that can be obtained inertia by formula (12), (19), (20) is:
Figure 412297DEST_PATH_IMAGE083
(21)
In the formula,
Figure DEST_PATH_IMAGE084
Be the estimated value of the total equivalent moment of inertia variable quantity of interior servomotor of k cycle and load,
Figure 567380DEST_PATH_IMAGE013
It is the estimated value of the total equivalent moment of inertia of interior servomotor of k cycle and load.
Therefore,
(22)
In the formula:
Figure 608334DEST_PATH_IMAGE013
Be meant servomotor and the total equivalent moment of inertia estimated value of load in the k cycle;
Figure 337256DEST_PATH_IMAGE014
It is motor moment of inertia rated value; Be the perturbing torque measured value
Figure 976365DEST_PATH_IMAGE016
In time
Figure 46214DEST_PATH_IMAGE017
The function that changes;
Figure 262432DEST_PATH_IMAGE019
With
Figure 207254DEST_PATH_IMAGE020
Be internal state variable;
Figure 559738DEST_PATH_IMAGE017
Be time quantum;
Figure 564603DEST_PATH_IMAGE021
, be internal state variable
Figure 628636DEST_PATH_IMAGE020
To time quantum
Figure 111570DEST_PATH_IMAGE017
Derivative;
Figure 584140DEST_PATH_IMAGE022
, be internal state variable
Figure 494327DEST_PATH_IMAGE019
To time quantum
Figure 481875DEST_PATH_IMAGE017
Derivative.
Fig. 4 is an AC servo inertia identification curve chart, wherein, and curve 1 expression inertia measured value, 2 expressions of curve inertia actual value.
Step 2: according to the result of identification, utilize the POLE PLACEMENT USING method, determine the Control Parameter of speed ring PID controller.As shown in Figure 2, speed ring controller in this example adopts the PI controller, according to the speed ring mathematics model analysis of AC servo as can be known, can be similar to AC servo speed ring open loop characteristic with first order modeling, and its transfer function is expressed as:
Figure DEST_PATH_IMAGE086
Wherein,
Figure 269964DEST_PATH_IMAGE040
Be the total equivalent moment of inertia of motor and load,
Figure 597040DEST_PATH_IMAGE087
Be the complex frequency operator,
Figure 943708DEST_PATH_IMAGE027
Be torque coefficient, for example get the permagnetic synchronous motor image parameter and be
Figure DEST_PATH_IMAGE088
,
Figure 418552DEST_PATH_IMAGE089
In addition, PI controller transfer function
Figure DEST_PATH_IMAGE090
, then system's closed loop transfer function, is:
(23)
Wherein
Figure 988653DEST_PATH_IMAGE028
(double pole) is speed ring closed loop transfer function, limit.
Can get thus, PI controller parameter tuning formulae is as follows:
Figure 443905DEST_PATH_IMAGE025
(24)
Figure 406045DEST_PATH_IMAGE026
(25)
As seen in Figure 5, under the situation that load equipment substitutes or inertia changes, can adjust the PID controller parameter based on the AC servo speed ring Control Parameter automatic setting method of inertia identification automatically, the system that makes has the good adaptive function.
In order further to verify the validity of the setting method that present embodiment proposes, the experiment porch in the present embodiment is the permagnetic synchronous motor system, adopts the digital control implementation based on DSP, and programming language is the C language.The chief component of system has: by the dsp chip TMS320 family chip TMS320F2808 of TI company be the control circuit part formed of core, by smart power device (Intelligent Power Module, be called for short IPM) be the inverter circuit part and the permagnetic synchronous motor of core, transducer such as photoelectric encoder and hall device also comprises keyboard and display module and communication module.The main application of each device is: Hall element is used to gather the two-way current signal
Figure DEST_PATH_IMAGE092
, photoelectric encoder is used to gather rotating speed of motor signal and rotor-position at motor internal; TMS320F2808 DSP is the core of whole servo system, is used to finish the computing of coordinate transform, speed control and current controller, its main operationals such as generation of SVPWM signal; Keyboard and display module are used for setup parameter and show current system mode; Communication module is used for communicating with host computer (serial communication); Inverter circuit is a core with power device IPM, and the SVPWM control signal that it generates according to DSP converts the power supply input to corresponding three-phase alternating voltage, is used for drive motors work.
When empty load of motor, speed ring PI controller parameter is
Figure 34472DEST_PATH_IMAGE029
,
Figure 70561DEST_PATH_IMAGE030
Motor drags load equipment, makes its inertia increase (10 times of inertia that inertia is rotor), and an online given speed periodic signal draws the estimated value of inertia
Figure 759031DEST_PATH_IMAGE003
, as shown in Figure 3,, obtain the parameter of speed ring controller by formula (24) and formula (25):
Figure 146150DEST_PATH_IMAGE031
,
Figure 814154DEST_PATH_IMAGE032
Fig. 5 has provided the speed responsive comparison diagram of controller parameter adjustment front and back permagnetic synchronous motor systems.
Present embodiment will be adjusted in the pid parameter of AC servo based on the inertia identification algorithm application of perturbing torque observer, by inertia identification and POLE PLACEMENT USING method are combined, can finish adjustment simply efficiently to AC Servo Motor Control device parameter.Experimental result shows: the present embodiment universality is strong, to external loading equipment inertia variation situation greatly, good adaptability is arranged.

Claims (3)

1. the AC servo speed ring Control Parameter automatic setting method based on inertia identification is characterized in that, at first with electric current loop and servomotor as generalized object, obtain the moment of inertia estimated value of this servomotor and load thereof by inertia identification; Adopt the POLE PLACEMENT USING method then, to the scale parameter of speed ring PID controller
Figure DEST_PATH_IMAGE001
And integral parameter
Figure 873315DEST_PATH_IMAGE002
Carry out automatic adjusting.
2. according to the described AC servo speed ring Control Parameter automatic setting method of claim 1, it is characterized in that, may further comprise the steps based on inertia identification:
(1) identification moment of inertia estimated value
Figure DEST_PATH_IMAGE003
The speed command signal of given one-period, this speed command signal is by amplitude
Figure 584306DEST_PATH_IMAGE004
, the cycle
Figure DEST_PATH_IMAGE005
, phase place Definition; By inertia identification module,, calculate the estimated value of the total equivalent moment of inertia of interior servomotor of k cycle and load as follows according to aforementioned given cyclical velocity command signal based on the perturbing torque observer
Figure DEST_PATH_IMAGE007
:
(22)
Wherein,
Figure DEST_PATH_IMAGE009
,
Figure 316005DEST_PATH_IMAGE010
Satisfy following condition respectively:
Figure DEST_PATH_IMAGE011
(7)
(8)
In the formula:
Figure DEST_PATH_IMAGE013
Be meant servomotor and the total equivalent moment of inertia estimated value of load in the k cycle;
Figure 564770DEST_PATH_IMAGE014
It is motor moment of inertia rated value;
Figure DEST_PATH_IMAGE015
Be the perturbing torque measured value In time
Figure 9843DEST_PATH_IMAGE018
The function that changes; Be perturbing torque observer limit;
Figure 361672DEST_PATH_IMAGE020
With
Figure DEST_PATH_IMAGE021
Be internal state variable;
Figure 343403DEST_PATH_IMAGE018
Be time quantum;
Figure 100006DEST_PATH_IMAGE022
, be internal state variable
Figure 813884DEST_PATH_IMAGE021
To time quantum
Figure 859201DEST_PATH_IMAGE018
Derivative;
Figure DEST_PATH_IMAGE023
, be internal state variable
Figure 316727DEST_PATH_IMAGE020
To time quantum
Figure 927837DEST_PATH_IMAGE018
Derivative;
Figure 78195DEST_PATH_IMAGE024
Be motor speed;
Figure DEST_PATH_IMAGE025
Be the motor electromagnetic torque;
(2) speed ring PID controller parameter is adjusted electric current loop and servomotor as generalized object, electric current loop adopts the PI controller, and it is 1 proportional component that electric current loop equivalence is become gain, to determine the speed ring closed loop transfer function, of AC servo speed ring PID controller controlled device and described servo AC system, adopt the POLE PLACEMENT USING method to obtain speed ring closed loop transfer function, limit, according to the resulting moment of inertia estimated value of step (1) identification
Figure 410475DEST_PATH_IMAGE003
, according to following speed ring PID controller scale parameter
Figure 671692DEST_PATH_IMAGE001
And integral parameter
Figure 74992DEST_PATH_IMAGE002
Tuning formulae, carry out scale parameter
Figure 396252DEST_PATH_IMAGE001
And integral parameter
Figure 150581DEST_PATH_IMAGE002
Adjust:
Figure 949910DEST_PATH_IMAGE026
(24)
Figure DEST_PATH_IMAGE027
(25)
Wherein,
Figure 535612DEST_PATH_IMAGE028
Be torque coefficient,
Figure 965456DEST_PATH_IMAGE003
It is the resulting moment of inertia estimated value of identification in the step (1)
Figure 3820DEST_PATH_IMAGE013
,
Figure DEST_PATH_IMAGE029
It is speed ring closed loop transfer function, limit.
3. according to the described AC servo speed ring Control Parameter automatic setting method of claim 1, it is characterized in that described servomotor is a permagnetic synchronous motor based on inertia identification.
CN2010105514605A 2010-11-18 2010-11-18 Method for automatically adjusting speed loop control parameters of alternating-current servo system based on inertia identification Active CN101989827B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN2010105514605A CN101989827B (en) 2010-11-18 2010-11-18 Method for automatically adjusting speed loop control parameters of alternating-current servo system based on inertia identification

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN2010105514605A CN101989827B (en) 2010-11-18 2010-11-18 Method for automatically adjusting speed loop control parameters of alternating-current servo system based on inertia identification

Publications (2)

Publication Number Publication Date
CN101989827A true CN101989827A (en) 2011-03-23
CN101989827B CN101989827B (en) 2012-12-05

Family

ID=43746214

Family Applications (1)

Application Number Title Priority Date Filing Date
CN2010105514605A Active CN101989827B (en) 2010-11-18 2010-11-18 Method for automatically adjusting speed loop control parameters of alternating-current servo system based on inertia identification

Country Status (1)

Country Link
CN (1) CN101989827B (en)

Cited By (36)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102790584A (en) * 2011-05-17 2012-11-21 大连光洋科技工程有限公司 Servo drive system and speed ring parameter setting system thereof
CN103124158A (en) * 2012-12-06 2013-05-29 华中科技大学 Method for self-adjusting control parameters of speed ring of permanent magnet synchronous motor based on fractional orders
CN103516284A (en) * 2013-09-30 2014-01-15 清华大学 Permanent magnet synchronous motor current increment prediction algorithm
CN103684178A (en) * 2013-12-17 2014-03-26 清华大学 Rotating speed filtering device and filtering method of PMSM
CN103941634A (en) * 2014-04-29 2014-07-23 西北工业大学 System and method based on internal model control method to restrain stick-slip vibration of drill stems
CN104063584A (en) * 2014-06-10 2014-09-24 国家电网公司 Control parameter setting method for steam turbine speed governing system
CN104242770A (en) * 2014-10-09 2014-12-24 南京科远自动化集团股份有限公司 Alternating-current servo system speed loop controller parameter self-tuning method
CN104391497A (en) * 2014-08-15 2015-03-04 北京邮电大学 On-line joint servo system parameter identification and controller parameter optimization 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
CN104467600A (en) * 2014-12-12 2015-03-25 江苏省电力公司 Generator rotational inertia online identification method based on analysis method
CN104993764A (en) * 2015-07-07 2015-10-21 江西洪都航空工业集团有限责任公司 Motor controller based on parameter self-tuning and control method thereof
CN105242526A (en) * 2015-10-30 2016-01-13 中国兵器工业集团第二O二研究所 Servo system position controller setting method considering time lag
CN105356793A (en) * 2015-10-30 2016-02-24 中国兵器工业集团第二O二研究所 Uniform and static-error-free speed control method for permanent-magnet synchronous motor of servo system
CN105391361A (en) * 2015-12-16 2016-03-09 南京熊猫电子股份有限公司 Method for automatically adjusting servo motor parameters of six-axis robot
CN105739301A (en) * 2016-02-18 2016-07-06 江西洪都航空工业集团有限责任公司 Control method of parameter self-tuning motor controller
CN105827171A (en) * 2015-01-05 2016-08-03 沈阳新松机器人自动化股份有限公司 Industrial robot gain adjustment module
CN106383516A (en) * 2016-09-27 2017-02-08 成都普诺思博科技有限公司 Mobile robot bottom control system
CN106533291A (en) * 2016-08-31 2017-03-22 东菱技术有限公司 Inertia identification and load torque observation-based speed loop response improvement method
CN106602960A (en) * 2015-10-20 2017-04-26 上海三菱电梯有限公司 Motor moment-of-inertia identification method and device and motor control device
CN106788061A (en) * 2017-01-24 2017-05-31 东南大学 A kind of permagnetic synchronous motor rotary inertia recognition methods based on depression of order electric current loop
CN106877769A (en) * 2017-04-11 2017-06-20 东南大学 A kind of method of servomotor plus of speed controller parameter self-tuning
CN107645267A (en) * 2016-07-20 2018-01-30 日本电产三协株式会社 Electric motor system
CN107807646A (en) * 2017-11-15 2018-03-16 东莞市松迪智能机器人科技有限公司 A kind of control device of Mecanum wheel omnirange operation
CN108170024A (en) * 2017-12-17 2018-06-15 北京世纪隆博科技有限责任公司 A kind of broad sense intelligence internal model collection PID controller design method
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
CN109361333A (en) * 2018-10-30 2019-02-19 深圳市汇川技术股份有限公司 Online inertia identification method, system, electric machine controller and readable memory
CN109660169A (en) * 2018-11-26 2019-04-19 浙江浙能技术研究院有限公司 A kind of rotary inertia transient state discrimination method of induction machine
CN109951115A (en) * 2019-04-08 2019-06-28 东莞市诺必然智能科技有限公司 A kind of direct current brushless motor speed self-adaptation control method
CN109995286A (en) * 2018-12-06 2019-07-09 中冶南方(武汉)自动化有限公司 PI parameter optimization design method for speed loop of asynchronous motor
CN110077241A (en) * 2019-03-26 2019-08-02 合肥巨一动力系统有限公司 A kind of power drive system der Geschwindigkeitkreis adjustment method based on rotary inertia
CN111538314A (en) * 2020-04-26 2020-08-14 湖南大学 Control performance analysis method for alternating current servo system
CN111756294A (en) * 2020-07-07 2020-10-09 武汉久同智能科技有限公司 Speed loop control parameter self-tuning servo adjusting platform based on frequency response
CN112332739A (en) * 2020-11-09 2021-02-05 上海英恒电子有限公司 Speed loop parameter adjusting method and device, computer equipment and storage medium
CN113199473A (en) * 2021-04-21 2021-08-03 上海飒智智能科技有限公司 Multi-axis mechanical arm control parameter group self-tuning method
CN113890424A (en) * 2021-09-30 2022-01-04 南京航空航天大学 Parameter identification-based permanent magnet synchronous motor speed loop PI controller tuning method
CN115085624A (en) * 2022-06-28 2022-09-20 重庆智能机器人研究院 Current loop self-tuning method for alternating current servo system

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070007920A1 (en) * 2003-09-04 2007-01-11 Kazuhiro Tsuruta Motor controller

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070007920A1 (en) * 2003-09-04 2007-01-11 Kazuhiro Tsuruta Motor controller

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
《IEEE TRANSACTIONS OF INDUSTRY APPLICATIONS》 19961231 Nam-Joon Kim等 Inertia Identification for the speed observer of the low speed control of induction machines 1371-1379 1-3 第32卷, 第6期 *
《中国电机工程学报》 20080825 刘志刚等 基于永磁同步电机模型辨识与补偿的自抗扰控制器 118-123 1-3 第28卷, 第24期 *
《南京理工大学学报(自然科学版)》 20090831 潘书娜等 永磁同步电机调速系统的自适应复合控制算法 87-91 1-4 第33卷, *

Cited By (61)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102790584A (en) * 2011-05-17 2012-11-21 大连光洋科技工程有限公司 Servo drive system and speed ring parameter setting system thereof
CN102790584B (en) * 2011-05-17 2016-08-24 科德数控股份有限公司 A kind of servo drive system and speed ring parameter tuning system thereof
CN103124158A (en) * 2012-12-06 2013-05-29 华中科技大学 Method for self-adjusting control parameters of speed ring of permanent magnet synchronous motor based on fractional orders
CN103124158B (en) * 2012-12-06 2015-07-29 华中科技大学 Based on the automatic setting method of the permagnetic synchronous motor speed ring controling parameters of fractional order
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
CN104426448B (en) * 2013-08-21 2017-10-13 广东美的制冷设备有限公司 Control parameter automatic setting method for compressor
CN103516284B (en) * 2013-09-30 2015-10-28 清华大学 A kind of permagnetic synchronous motor current increment prediction algorithm
CN103516284A (en) * 2013-09-30 2014-01-15 清华大学 Permanent magnet synchronous motor current increment prediction algorithm
CN103684178A (en) * 2013-12-17 2014-03-26 清华大学 Rotating speed filtering device and filtering method of PMSM
CN103684178B (en) * 2013-12-17 2016-01-13 清华大学 A kind of permagnetic synchronous motor rotating speed filter and filtering method
CN103941634A (en) * 2014-04-29 2014-07-23 西北工业大学 System and method based on internal model control method to restrain stick-slip vibration of drill stems
CN103941634B (en) * 2014-04-29 2016-08-17 西北工业大学 A kind of system and method based on internal model control method suppression drilling rod stick slip vibration
CN104063584B (en) * 2014-06-10 2017-02-08 国家电网公司 Control parameter setting method for steam turbine speed governing system
CN104063584A (en) * 2014-06-10 2014-09-24 国家电网公司 Control parameter setting method for steam turbine speed governing system
CN104391497A (en) * 2014-08-15 2015-03-04 北京邮电大学 On-line joint servo system parameter identification and controller parameter optimization method
CN104391497B (en) * 2014-08-15 2017-08-29 北京邮电大学 A kind of joint servo system parameter identification and control parameter method for on-line optimization
CN104242770A (en) * 2014-10-09 2014-12-24 南京科远自动化集团股份有限公司 Alternating-current servo system speed loop controller parameter self-tuning method
CN104242770B (en) * 2014-10-09 2017-02-01 南京科远驱动技术有限公司 Alternating-current servo system speed loop controller parameter self-tuning method
CN104467600A (en) * 2014-12-12 2015-03-25 江苏省电力公司 Generator rotational inertia online identification method based on analysis method
CN104467600B (en) * 2014-12-12 2017-05-17 江苏省电力公司 Generator rotational inertia online identification method based on analysis method
CN105827171A (en) * 2015-01-05 2016-08-03 沈阳新松机器人自动化股份有限公司 Industrial robot gain adjustment module
CN104993764B (en) * 2015-07-07 2017-11-17 江西洪都航空工业集团有限责任公司 Based on a kind of control method of the electric machine controller of parameter self-tuning
CN104993764A (en) * 2015-07-07 2015-10-21 江西洪都航空工业集团有限责任公司 Motor controller based on parameter self-tuning and control method thereof
CN106602960B (en) * 2015-10-20 2019-04-02 上海三菱电梯有限公司 Motor method for identification of rotational inertia and device and motor control assembly
CN106602960A (en) * 2015-10-20 2017-04-26 上海三菱电梯有限公司 Motor moment-of-inertia identification method and device and motor control device
CN105356793A (en) * 2015-10-30 2016-02-24 中国兵器工业集团第二O二研究所 Uniform and static-error-free speed control method for permanent-magnet synchronous motor of servo system
CN105242526A (en) * 2015-10-30 2016-01-13 中国兵器工业集团第二O二研究所 Servo system position controller setting method considering time lag
CN105391361A (en) * 2015-12-16 2016-03-09 南京熊猫电子股份有限公司 Method for automatically adjusting servo motor parameters of six-axis robot
CN105391361B (en) * 2015-12-16 2019-04-12 南京熊猫电子股份有限公司 A kind of method of six-joint robot servo motor parameter adjust automatically
CN105739301A (en) * 2016-02-18 2016-07-06 江西洪都航空工业集团有限责任公司 Control method of parameter self-tuning motor controller
CN107645267B (en) * 2016-07-20 2020-05-26 日本电产三协株式会社 Motor system
CN107645267A (en) * 2016-07-20 2018-01-30 日本电产三协株式会社 Electric motor system
CN106533291A (en) * 2016-08-31 2017-03-22 东菱技术有限公司 Inertia identification and load torque observation-based speed loop response improvement method
CN106383516A (en) * 2016-09-27 2017-02-08 成都普诺思博科技有限公司 Mobile robot bottom control system
CN106788061B (en) * 2017-01-24 2019-04-30 东南大学 A kind of permanent magnet synchronous motor rotary inertia recognition methods based on depression of order electric current loop
CN106788061A (en) * 2017-01-24 2017-05-31 东南大学 A kind of permagnetic synchronous motor rotary inertia recognition methods based on depression of order electric current loop
CN106877769B (en) * 2017-04-11 2019-02-15 东南大学 A kind of method of servo motor plus of speed controller parameter self-tuning
CN106877769A (en) * 2017-04-11 2017-06-20 东南大学 A kind of method of servomotor plus of speed controller parameter self-tuning
CN107807646A (en) * 2017-11-15 2018-03-16 东莞市松迪智能机器人科技有限公司 A kind of control device of Mecanum wheel omnirange operation
CN108170024B (en) * 2017-12-17 2021-02-05 北京世纪隆博科技有限责任公司 Design method of generalized intelligent internal model set PID controller
CN108170024A (en) * 2017-12-17 2018-06-15 北京世纪隆博科技有限责任公司 A kind of broad sense intelligence internal model collection PID controller design method
CN108696210B (en) * 2018-05-21 2021-07-13 东南大学 Parameter identification-based parameter self-tuning method for direct current motor current loop controller
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
CN109361333B (en) * 2018-10-30 2021-06-29 深圳市汇川技术股份有限公司 Online inertia identification method and system, motor controller and readable memory
CN109361333A (en) * 2018-10-30 2019-02-19 深圳市汇川技术股份有限公司 Online inertia identification method, system, electric machine controller and readable memory
CN109660169A (en) * 2018-11-26 2019-04-19 浙江浙能技术研究院有限公司 A kind of rotary inertia transient state discrimination method of induction machine
CN109995286A (en) * 2018-12-06 2019-07-09 中冶南方(武汉)自动化有限公司 PI parameter optimization design method for speed loop of asynchronous motor
CN110077241A (en) * 2019-03-26 2019-08-02 合肥巨一动力系统有限公司 A kind of power drive system der Geschwindigkeitkreis adjustment method based on rotary inertia
CN110077241B (en) * 2019-03-26 2021-10-15 合肥巨一动力系统有限公司 Electric drive system rotating speed ring debugging method based on rotational inertia
CN109951115A (en) * 2019-04-08 2019-06-28 东莞市诺必然智能科技有限公司 A kind of direct current brushless motor speed self-adaptation control method
CN111538314B (en) * 2020-04-26 2021-06-18 湖南大学 Control performance analysis method for alternating current servo system
CN111538314A (en) * 2020-04-26 2020-08-14 湖南大学 Control performance analysis method for alternating current servo system
CN111756294A (en) * 2020-07-07 2020-10-09 武汉久同智能科技有限公司 Speed loop control parameter self-tuning servo adjusting platform based on frequency response
CN111756294B (en) * 2020-07-07 2022-08-02 武汉久同智能科技有限公司 Speed loop control parameter self-tuning servo adjusting platform based on frequency response
CN112332739A (en) * 2020-11-09 2021-02-05 上海英恒电子有限公司 Speed loop parameter adjusting method and device, computer equipment and storage medium
CN112332739B (en) * 2020-11-09 2022-07-12 上海英恒电子有限公司 Speed loop parameter adjusting method and device, computer equipment and storage medium
CN113199473A (en) * 2021-04-21 2021-08-03 上海飒智智能科技有限公司 Multi-axis mechanical arm control parameter group self-tuning method
CN113890424A (en) * 2021-09-30 2022-01-04 南京航空航天大学 Parameter identification-based permanent magnet synchronous motor speed loop PI controller tuning method
CN113890424B (en) * 2021-09-30 2024-04-16 南京航空航天大学 Parameter identification-based tuning method for PI controller of speed ring of permanent magnet synchronous motor
CN115085624A (en) * 2022-06-28 2022-09-20 重庆智能机器人研究院 Current loop self-tuning method for alternating current servo system
CN115085624B (en) * 2022-06-28 2023-09-26 重庆智能机器人研究院 Current loop self-tuning method of alternating current servo system

Also Published As

Publication number Publication date
CN101989827B (en) 2012-12-05

Similar Documents

Publication Publication Date Title
CN101989827A (en) Method for automatically adjusting speed loop control parameters of alternating-current servo system based on inertia identification
Linares-Flores et al. Robust backstepping tracking controller for low-speed PMSM positioning system: design, analysis, and implementation
CN102426417B (en) PI (Proportional Integral) parameter mixed setting method
CN103401500B (en) A kind of high accuracy permanent magnetic synchronous motor AC servo systems speed ripple suppressing method based on repetitive controller
CN107070342A (en) A kind of control system for permanent-magnet synchronous motor of bringing onto load state observer
CN105375848B (en) A kind of permanent magnet synchronous motor Adaptive Identification control method and its control system
CN107017817B (en) A kind of high speed IPM synchronous motor current decoupling control method
Liu et al. Adaptive nonsingular fast terminal sliding mode control for permanent magnet synchronous motor based on disturbance observer
CN104242770A (en) Alternating-current servo system speed loop controller parameter self-tuning method
CN105227035B (en) A kind of permanent-magnetism linear motor control method
Ostroverkhov et al. Control System with Field Weakening of Synchronous Motor Drive
Tang et al. A novel position speed integrated sliding mode variable structure controller for position control of PMSM
Alfehaid et al. Speed control of permanent magnet synchronous motor using extended high-gain observer
Idoko et al. Design of tuning mechanism of PID controller for application in three phase induction motor speed control
Butt et al. Intelligent speed control of interior permanent magnet motor drives using a single untrained artificial neuron
Badini et al. MRAS-based speed and parameter estimation for a vector-controlled PMSM drive
Fang et al. Simulation of speed-control system for PMSM based on sliding mode control
Moutchou et al. Sensorless speed backstepping control of induction machine, based on speed MRAS observer
CN112072973A (en) Permanent magnet synchronous motor overtorque sliding mode control method based on prediction self-adaptation law
Su Fuzzy ADRC controller design for PMSM speed regulation system
Han et al. Research on PMSM sensor-less system based on ADRC-PBC strategy
Van Lanh et al. Synthesis of Discrete Model Predictive Controller for Opto-Mechanical Complex Electric Drive System
Li et al. Event-triggered position tracking for permanent magnet synchronous motor
Gao et al. Research on Speed Control of Three-Phase Alternating Current Asynchronous Motor Based on Back Propagation Neural Network Tuning Proportion Integration Differentiation Control
CN113556068B (en) Servo control method and servo system for permanent magnet synchronous motor

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
TR01 Transfer of patent right
TR01 Transfer of patent right

Effective date of registration: 20190510

Address after: 210096 No. four archway, 2, Jiangsu, Nanjing

Co-patentee after: Nanjing Estun Automation Co., Ltd.

Patentee after: Southeast University

Address before: 210096 No. four archway, 2, Jiangsu, Nanjing

Co-patentee before: Nanjing Estun Automatic Control Technology Co., Ltd.

Patentee before: Southeast University