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Model-free adaptive control method of linear motor servo system

A model-free adaptive, linear motor technology, applied in the direction of AC motor control, control system, electrical components, etc., can solve the problem of good robustness

Inactive Publication Date: 2019-03-12
BEIJING INFORMATION SCI & TECH UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] Although the above existing model-based control methods have good control effects when the precise model of the controlled object is known, however, in the linear motor servo system with strong unmodeled dynamics, the controller design must achieve The above-mentioned model-based control methods are not suitable for dealing with control problems with strong unmodeled dynamics due to high steady-state tracking accuracy, fast dynamic response, strong anti-interference ability, and good robustness.

Method used

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  • Model-free adaptive control method of linear motor servo system
  • Model-free adaptive control method of linear motor servo system
  • Model-free adaptive control method of linear motor servo system

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Experimental program
Comparison scheme
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Embodiment 1

[0095] figure 1 It is the composition and connection diagram of applying the model-free adaptive control method to the tool feed linear motor servo system. The system consists of an upper PC computer, MFAC controller, digital signal processor, linear motor driver, linear motor, and grating detection unit;

[0096] The specific connection method is as follows:

[0097] Step I: In the upper PC computer, utilize the Simulink software in cSPACE to build the MFAC control scheme;

[0098] Step II: download the algorithm control signal u(k) code to the DSP control card of the digital signal processor through the USB port of the upper PC computer;

[0099] Step III: The linear motor servo driver realizes the communication with the digital signal processor and sends the start-stop signal of the motor through the RS232 interface of the upper PC computer;

[0100] Step IV: the DSP control card converts the downloaded control signal u(k) through D / A to control the linear motor driver; ...

Embodiment 2

[0107] This embodiment elaborates in detail the control structure when the model-free adaptive control scheme of the present invention is implemented in the linear motor servo system, as figure 2shown.

[0108] The specific implementation process is as follows:

[0109] step 1):

[0110] The linear motor servo system meets the following three conditions:

[0111] Condition 4.1 The input voltage and output position are observable and controllable, that is, for the expected sinusoidal position output signal of a given amplitude (within the allowable range), there must be a voltage input signal (within the allowable range of the motor), so that the linear motor Driven by this voltage signal, the position output follows the sinusoidal output expected by the system.

[0112] Condition 4.2 The partial derivative of the unknown nonlinear function of the linear servo system with respect to the current voltage control input u(k) is continuous. That is, the input control voltage is...

Embodiment 3

[0123] This embodiment elaborates in detail the experimental results when the model-free adaptive control scheme of the present invention is implemented in a linear motor servo system.

[0124] Such as image 3 As shown, the present embodiment is a comparison of PID, neural network and MFAC scheme characteristics of the present invention, three kinds of control schemes are all provided with the same sinusoidal input signal frequency is increased to 1Hz by 0.2Hz, the amplitude selection is 90mm, and the sampling period is all selected as 0.005s.

[0125] In this experiment, the position error characteristics when the PID parameters are adjusted to the best (1, 42, 0) are as follows: image 3 As shown in (a), the maximum error is about 4mm, and the error is always in a state of constant change, and the error is large, and the control effect is not good enough. image 3 (b) in (b) adopts the neural network control method, and the number of training times is set to 20,000 times ...

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Abstract

The invention relates to a model-free adaptive control method of a linear motor servo system, and belongs to the technical field of automatic control and mechanical-electrical integration. The model-free adaptive control method comprises the steps of 1) connecting and setting a parameter of a linear motor driver and testing running characteristic of a linear motor; 2) programming to achieve MFAC control, wherein the step 2) particularly comprises the steps of 2.1) calculating an output u(k) of the controller according to u(k)=u(k-1)+{[Rho Theta-bar (k)] / [Lamda+Theta-bar (k)<2>]}[y<*>(k+1)-y(k)]; and 2.2) calculating an output Theta-bar (k) of an estimator according to Theta-bar (k)= Theta-bar (k-1)+{[Eta Delta u(k-1)] / [Mu+Delta u(k-1)<2>]}[Delta y (k)-Theta-bar (k-1) Delta u(k-1)]; 3) downloading the output u(k) of the controller to a digital signal processor, and converting the output to an analogue signal; 4) generating a voltage output signal to drive the linear motor to run; 5) changing a parameter of a model-free adaptive control algorithm on line, and changing amplitude of an expected sine position signal; 6) performing on-line estimation on a pseudo-partial-derivative Theta-bar (k); 7) adjusting the output u(k) of the model-free adaptive controller on line according to the pseudo-partial-derivative Theta-bar (k); and 8) displaying a control result in real time, and observing a running effect of the linear servo system. The method has the advantages of high steady-state tracing accuracy, rapid dynamic response, good robustness and high interference-resistant capability.

Description

technical field [0001] The invention relates to a model-free self-adaptive control method of a linear motor servo system, which belongs to the fields of automatic control, mechatronics and related technologies. Background technique [0002] Parts with non-circular cross-sections are widely used. Modern industry requires non-circular cutting tools to track complex shaped surfaces with high speed and high precision in the radial direction to improve machining accuracy. One of the key components of non-circular cutting lathes is the radial feed system. Non-circular cross-section parts bring difficulties to machining because of their unique shape features. The more complex the profile, the higher the cutting speed. The feed system The higher the requirements. High system transmission accuracy, high cutting frequency response capability, high rigidity and ability to resist dynamic load are the guarantees for the undistorted section profile of the part. [0003] The wide applica...

Claims

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Application Information

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IPC IPC(8): H02P25/06
CPCH02P25/06
Inventor 曹荣敏廖柏程王军茹张宝林关静丽
Owner BEIJING INFORMATION SCI & TECH UNIV
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