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Genetic algorithm-based piezoelectric actuator feedforward and closed-loop compound control method and system

A genetic algorithm and composite control technology, applied in the fields of feedforward and closed-loop composite control of piezoelectric ceramic drivers based on genetic algorithms, can solve problems such as asymmetric hysteresis curves of piezoelectric ceramics

Inactive Publication Date: 2017-12-15
SUZHOU UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

The classic PI model can describe the hysteresis nonlinear process with fewer parameters, and there will be no error accumulati

Method used

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  • Genetic algorithm-based piezoelectric actuator feedforward and closed-loop compound control method and system
  • Genetic algorithm-based piezoelectric actuator feedforward and closed-loop compound control method and system
  • Genetic algorithm-based piezoelectric actuator feedforward and closed-loop compound control method and system

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Experimental program
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Effect test

Embodiment 1

[0095] This embodiment is based on the genetic algorithm-based feedforward and closed-loop composite control method of the piezoelectric ceramic driver, and the expected displacement r(t) of the piezoelectric ceramic driver is input into the feedforward model, and the feedforward model is based on the expected displacement value r(t) Calculate the initial driving voltage u of the piezoelectric ceramic driver ε (t); With the piezoelectric ceramic displacement or the piezoelectric ceramic driver displacement as the feedback signal of the PID controller, the initial drive voltage u is controlled by the PID controller ε (t) Perform error elimination to obtain the driving voltage of the piezoelectric ceramic driver, and use the genetic algorithm to adjust the proportional parameter k of the PID controller p , integral adjustment parameter k i , the differential adjustment parameter k d optimize.

[0096] In this embodiment, the feedforward model is an improved PI hysteresis inve...

Embodiment 2

[0163] This embodiment is based on the genetic algorithm-based feed-forward and closed-loop compound control method for piezoelectric ceramic drivers. On the basis of Embodiment 1, the genetic algorithm-based optimization of the proportional adjustment parameter k of the PID controller p , integral adjustment parameter k i , the differential adjustment parameter k d Specifically include:

[0164] S1 respectively determines the proportional adjustment parameter k p , integral adjustment parameter k i , the differential adjustment parameter k d range and encoding length, encode each parameter separately, select a binary string to represent each parameter, and establish a relationship with the parameter;

[0165] S2 randomly generates n individual structures into the initial population p(0);

[0166] S3 decodes each of the population into a corresponding parameter value, and substitutes this parameter value into the objective function. After the objective function is determi...

Embodiment 3

[0181] In this embodiment, the feedforward and closed-loop composite control system for piezoelectric ceramic drivers based on genetic algorithms includes: a feedforward model unit, a PID controller, a PID parameter optimization unit, a sensor measurement unit, and a piezoelectric ceramic driver, wherein,

[0182] The feedforward model unit is used to obtain the initial driving voltage u of the piezoelectric ceramic driver according to the input operation of the expected displacement r(t) of the piezoelectric ceramic driver ε (t);

[0183] The sensor measuring unit is used to output the displacement of the piezoelectric ceramic driver, obtain the displacement of the piezoelectric ceramic in the piezoelectric ceramic driver, and use it as a feedback signal for the closed-loop control of the PID controller;

[0184] The PID controller is used to control the initial driving voltage u according to the displacement of the piezoelectric ceramic driver and the displacement of the pie...

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Abstract

The present invention relates to a genetic algorithm-based piezoelectric actuator feedforward and closed-loop compound control method and system. According to the method and system, a feedforward model and a PID (proportional-integral-derivative) closed-loop control system are adopted to form a feedforward and PID closed loop so as to perform feedforward and closed-loop compound control on a piezoelectric actuator, and therefore, the control accuracy of a piezoelectric ceramic controller can be improved; the current dominant feedforward and PID compound control algorithm is adopted, and a genetic algorithm is utilized to find optimal PID parameters, and therefore, closed-loop control over the piezoelectric ceramic actuator can be realized; and the genetic algorithm can find suitable functions within specified ranges, so that the genetic algorithm is adopted to set three PID coefficients, and therefore, better closed-loop control over the piezoelectric actuator can be realized.

Description

technical field [0001] The invention relates to a feedforward and closed-loop composite control method and system for a piezoelectric ceramic driver based on a genetic algorithm. Background technique [0002] There are errors in the feedforward compensation of the hysteresis model of piezoelectric ceramics, and the anti-interference performance of the open-loop control is poor, and the closed-loop control has a feedback link that can effectively anti-interference. The PID controller obtains the control deviation e(t) according to the given value r(t) and the actual output value f(t), that is, e(t)=r(t)-f(t), and then the ratio of the deviation value , integral and differential form the control variable through linear combination, and control the controlled object. PID controller is a kind of linear controller, and its control law is: [0003] [0004] where k p —Proportional coefficient; T I —Integral time constant; T D — Differential time constant; e(t) [0005] — D...

Claims

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Application Information

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IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 钟博文
Owner SUZHOU UNIV
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