CN107623473B - Position prediction control method for permanent magnet synchronous servo system - Google Patents

Position prediction control method for permanent magnet synchronous servo system Download PDF

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CN107623473B
CN107623473B CN201710727012.8A CN201710727012A CN107623473B CN 107623473 B CN107623473 B CN 107623473B CN 201710727012 A CN201710727012 A CN 201710727012A CN 107623473 B CN107623473 B CN 107623473B
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matrix controller
controller
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prediction
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潘安远
张今朝
陈志长
史纯自
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Zhejiang Deou Electric Technology Co.,Ltd.
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Zhejiang Dealour Electric Technology Co ltd
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Abstract

The invention discloses a position prediction control method of a permanent magnet synchronous servo system, which is characterized in that a speed loop, a current loop and a motor system of the servo control system are kept unchanged, a position loop is designed into a matrix controller, and the matrix controller is designed according to position errors aiming at position control.

Description

Position prediction control method for permanent magnet synchronous servo system
Technical Field
The invention belongs to the technical field of automatic control, and particularly relates to a position prediction control method for a permanent magnet synchronous servo motor.
Background
In an automatic control system, a system in which an output quantity can be changed following a change in an input quantity with a certain accuracy is called a servo system. The servo system is composed of a servo driving device and a servo motor, and the servo system using the permanent magnet synchronous motor as the servo motor is called as a permanent magnet synchronous motor servo system.
The permanent magnet synchronous servo system is used as a basic key technology of a numerical control machine tool and an industrial robot, and plays a decisive role in technical indexes such as precision, speed and the like of the whole motion control system. In the prior art, a servo control system generally has three control methods, including a speed control method, a torque control method and a position control method; a widely used way is position control. There are two requirements for position control of a permanent magnet synchronous servo system: fast smooth transient response and small position following deviation; the position following deviation has two types, one is that in the initial stage of position following, the motor is in acceleration operation, and the following deviation is the speed dynamic following deviation, and the other is the speed steady state following deviation after the speed is stabilized. The two determinants of the following deviation are the gain of the position controller, and the larger the gain, the smaller the deviation of the position following. The gain setting of the position controller is related to the load dragged by the motor, and excessive gain causes mechanical shock and overshooting of the position control, which are not allowed. Reducing the gain can avoid the occurrence of mechanical shock and overshoot, but can increase the following deviation to affect the processing precision.
Disclosure of Invention
The invention aims to design a position ring into a matrix controller, design a predictive controller according to position errors, reflect dynamic effects in a control process, particularly adjust parameters of the controller on line in a big data on-line processing process, and improve the control efficiency of a servo motor.
The technical scheme adopted by the invention for solving the technical problems is as follows:
a permanent magnet synchronous servo system position prediction control method keeps a speed loop, a current loop and a motor system of a servo control system unchanged, and designs a position loop into a matrix controller;
when the position given signal sent by the upper system is
Figure BDA0001386169410000011
Matrix controller output increment of Δ ωrm(k) The unit step signal is input at the input end, and when the response of the servo control system reaches a steady state, a group of position model parameter vectors [ a ] can be obtained1a2… aN]TThe method comprises the steps that N models a time domain, the time domain length of prediction output is assumed to be P, the time domain length is controlled to be M, N is equal to or more than P and equal to or more than M, and P is equal to or more than M and equal to 10 in the method;
when at time k, the matrix controller output increments by Δ ωrm(k) The matrix controller output value at the future time is obtained as
Figure BDA0001386169410000021
Then there are M increments Δ ω at time krm(k),…,Δωrm(k + M-1) the matrix controller output value at each time in the future is obtained as
Figure BDA0001386169410000022
Wherein the content of the first and second substances,
Figure BDA0001386169410000023
in order to increase the dynamic stability of the servo control system and the realizability of the control input and reduce the calculated amount, the matrix controller outputs an increment delta omegarm(k) Decrease to P dimension then become
Figure BDA0001386169410000024
The matrix A is a constant matrix of P multiplied by M, reflects the dynamic characteristics of an object and is completely determined by step signal response parameters;
(2) in the formula (I), the compound is shown in the specification,
Figure BDA0001386169410000025
ΔWrm(k)=[Δωrm(k),Δωrm(k+1),…,Δωrm(k+M-1)]T
Wrm(k-1)=[ωrm(k-N+1),ωrm(k-N+2),…,ωrm(k-1)]T
Figure BDA0001386169410000026
while
Figure BDA0001386169410000027
Figure BDA0001386169410000028
The position prediction of the servo control system is determined by the dynamic response system of the servo control system and the matrix controller increment, such as taking
Figure BDA0001386169410000031
Given value of system, thetarmcov(k +1) is the predicted value after correction, then
Figure BDA0001386169410000032
The matrix controller increment optimization criterion is
Figure BDA0001386169410000033
Q=diag(q1,q2,…,qP)
R=diag(r1,r2,…,rM)
The diagonal matrices Q, R represent the error weight matrix and the control weight matrix, respectively, in the present invention, Q ═ diag (0, 0, 0, 0, 0, 1, 1, 1, 1, 1), R is the diagonal matrix, and the matrix controller is incremented by Δ ω mainlyrmConstraining, setting the initial value to zero, adjusting according to the input quantity in the control process, and expressing the output error as
Figure BDA0001386169410000034
In the formula, thetarm(k) Is the actual output value.
Prediction of the future by means of a modification of the weighting of the output error e (k +1)
Figure BDA0001386169410000035
In the formula, h is a feedback matrix for correcting errors, and a decimal between 0 and 1 can be taken generally;
Figure BDA0001386169410000036
from the formula (4), according to the constraint condition
Figure BDA0001386169410000037
The matrix controller increment is finally obtained
Figure BDA0001386169410000038
Wherein D isT=(1,0,…,0)(ATQA+R)-1ATAnd Q, obtaining the matrix controller through calculation of the first row of the shift matrix.
The invention has the advantages that the position ring is designed into the matrix controller, and when the servo system carries out online processing on big data, the physical model of a system connected with the motor position controller is not needed to be relied on through continuous adjustment and optimization of online and offline data according to the controller. The invention provides a matrix controller model, which is easy to realize in the system.
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FIG. 1 is a schematic diagram of a permanent magnet synchronous motor system;
FIG. 2 is a flow chart of a method for predicting and controlling the position of a permanent magnet synchronous servo motor according to the present invention.
Detailed Description
The technical solution of the present invention is described in detail below. The embodiments of the present invention are provided only for illustrating a specific structure, and the scale of the structure is not limited by the embodiments.
Referring to fig. 1 and 2, a typical three-closed-loop control is usually adopted for servo motor control, a permanent magnet synchronous motor model with vector decoupling under coordinate transformation is obtained from known literature as the following formula, and a system structure is shown in fig. 1; in FIG. 1, wherein Gp(s)、Gs(s) and Gi(s) position, velocity and current controllers for the servo motor, respectively;
Figure BDA0001386169410000041
the decoupling control permanent magnet synchronous motor model comprises the following steps: u'q=npωrmf+Laid)-uq,u′d=ud+npωrmLaiqEach parameter being respectively
u′q、u′dVoltage components applied to the d and q coordinate winding impedances, respectively;
ωrmis the rotor mechanical angular velocity;
ψfa rotor flux linkage;
Laself-inductance of the stator winding;
id、iqd and q coordinate current components of the stator are obtained;
uq、udstator d, q coordinate voltage components;
the invention relates to a position prediction control method of a permanent magnet synchronous servo system, which keeps a speed loop, a current loop and a motor system of the servo control system unchanged, and designs a position loop into a matrix controller;
when the position given signal sent by the upper system is
Figure BDA0001386169410000044
Matrix controller output increment of Δ ωrm(k) The unit step signal is input at the input end, and when the response of the servo control system reaches a steady state, a group of position model parameter vectors [ a ] can be obtained1a2… aN]TThe method comprises the steps that N models a time domain, the time domain length of prediction output is assumed to be P, the time domain length is controlled to be M, N is equal to or more than P and equal to or more than M, and P is equal to or more than M and equal to 10 in the method;
when at time k, the matrix controller output increments by Δ ωrm(k) The matrix controller output value at the future time is obtained as
Figure BDA0001386169410000051
Then there are M increments Δ ω at time krm(k),…,Δωrm(k + M-1) the matrix controller output value at each time in the future is obtained as
Figure BDA0001386169410000052
Wherein the content of the first and second substances,
Figure BDA0001386169410000053
in order to increase the dynamic stability of the servo control system and the realizability of the control input and reduce the calculated amount, the matrix controller outputs an increment delta omegarm(k) Decrease to P dimension then become
Figure BDA0001386169410000054
The matrix A is a constant matrix of P multiplied by M, reflects the dynamic characteristics of an object and is completely determined by step signal response parameters; (2) in the formula (I), the compound is shown in the specification,
Figure BDA0001386169410000055
ΔWrm(k)=[Δωrm(k),Δωrm(k+1),…,Δωrm(k+M-1)]T
Wrm(k-1)=[ωrm(k-N+1),ωrm(k-N+2),…,ωrm(k-1)]T
Figure BDA0001386169410000056
while
Figure BDA0001386169410000057
Figure BDA0001386169410000061
The position prediction of the servo control system is determined by the dynamic response system of the servo control system and the matrix controller increment, such as taking
Figure BDA0001386169410000062
Is a system toConstant value, thetarmcov(k +1) is the predicted value after correction, then
Figure BDA0001386169410000063
The matrix controller increment optimization criterion is
Figure BDA0001386169410000064
Q=diag(q1,q2,…,qP)
R=diag(r1,r2,…,rM)
Diagonal matrices Q, R represent the error weight matrix and the control weight matrix, respectively, where Q ═ diag (0, 0, 0, 0, 0, 1, 1, 1, 1, 1), R is the diagonal matrix, and the primary pair matrix controller increments Δ ωrmConstraining, making initial value zero, adjusting according to input quantity of matrix controller in control process, and expressing output error as
Figure BDA0001386169410000065
In the formula, thetarm(k) Is the actual output value;
prediction of the future by means of a modification of the weighting of the output error e (k +1)
Figure BDA0001386169410000066
In the formula, h is a feedback matrix for correcting errors, and a decimal between 0 and 1 can be taken generally;
Figure BDA0001386169410000067
from the formula (4), according to the constraint condition
Figure BDA0001386169410000068
Finally obtaining the final productTo matrix controller increments
Figure BDA0001386169410000069
Wherein D isT=(1,0,…,0)(ATQA+R)-1ATAnd Q, obtaining the matrix controller through calculation of the first row of the shift matrix.
In addition, in FIG. 2, the accumulator can be represented as
Figure BDA0001386169410000071
where η is a scaling factor, based on the delta Δ ω input to the matrix controllerrmSize and subsequent control see fig. 1, mainly by speed control GsCurrent controller GiComposition, object being model of de-q-axis component under decoupled control, i.e. u'q=npωrmf+Laid)-uq

Claims (2)

1. A permanent magnet synchronous servo system position prediction control method is characterized in that a speed loop, a current loop and a motor system of a servo control system are kept unchanged, and a position loop is designed into a matrix controller;
the matrix controller comprises the following steps:
when the position given signal sent by the upper system is
Figure FDA0002441628320000011
Matrix controller output increment of Δ ωrm(k) The unit step signal is input at the input end, and when the response of the servo control system reaches a steady state, a group of position model parameter vectors [ a ] can be obtained1a2…aN]TThe modeling time domain length is N, the time domain length output by prediction is assumed to be P, the time domain length is controlled to be M, and N is not less than P and not less than M;
when at time k, the matrix controller output increments by Δ ωrm(k) The matrix controller output value at the future time is obtained as
Figure FDA0002441628320000012
At time k, there are M increments Δ ωrm(k),…,Δωrm(k + M-1) the matrix controller output value at each time in the future is obtained as
Figure FDA0002441628320000013
Wherein the content of the first and second substances,
Figure FDA0002441628320000014
in order to increase the dynamic stability of the servo control system and the realizability of the control input and reduce the calculated amount, the matrix controller outputs an increment delta omegarm(k) Decrease to P dimension then become
Figure FDA0002441628320000015
The matrix A is a constant matrix of P multiplied by M, reflects the dynamic characteristics of an object and is completely determined by step signal response parameters;
(2) in the formula (I), the compound is shown in the specification,
Figure FDA0002441628320000016
ΔWrm(k)=[Δωrm(k),Δωrm(k+1),…,Δωrm(k+M-1)]T
Figure FDA0002441628320000021
while
Figure FDA0002441628320000022
Figure FDA0002441628320000023
The position prediction of the servo control system is determined by the dynamic response system of the servo control system and the matrix controller increment, and the theta is set* rm(k +1) is the rotor position given by the system, thetarmcov(k +1) is the predicted value after correction, then
Figure FDA0002441628320000024
The matrix controller increment optimization criterion is
Figure FDA0002441628320000025
Q=diag(q1,q2,…,qP)
R=diag(r1,r2,…,rM)
Diagonal matrices Q, R represent the error weight matrix and the control weight matrix, respectively, where Q ═ diag (0, 0, 0, 0, 0, 1, 1, 1, 1, 1), R is the diagonal matrix, and the primary pair matrix controller increments Δ ωrmConstraining, setting the initial value to zero, adjusting according to the input quantity in the control process, and expressing the output error as
Figure FDA0002441628320000026
In the formula, thetarm(k) Is the actual output value;
prediction of the future by means of a modification of the weighting of the output error e (k +1)
Figure FDA0002441628320000027
In the formula, h is a feedback matrix for correcting errors, and a decimal between 0 and 1 can be taken generally;
Figure FDA0002441628320000031
is obtained according to the constraint condition from the formula (4)
Figure FDA0002441628320000032
The matrix controller increment is finally obtained
Figure FDA0002441628320000033
Wherein D isT=(1,0,…,0)(ATQA+R)-1ATAnd Q, obtaining the matrix controller through calculation of the first row of the shift matrix.
2. The method as claimed in claim 1, wherein the time domain length of the prediction output is P, the control time domain length is M, and P-M-10 is taken.
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CN104270055A (en) * 2014-09-24 2015-01-07 武汉科技大学 Parameter self-correcting method of position loop IP controller of alternating current servo system
CN104660134B (en) * 2015-02-27 2017-06-16 北京精密机电控制设备研究所 permanent magnet synchronous servo motor current loop control method
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