Control Design of the Wave Compensation System Based on the Genetic PID Algorithm
The transfer function of the wave compensation system is deduced. The interference signal acting on the system is eliminated by the feed-forward compensation correction method. The pole assignment of the system is carried out after eliminating the interference signal. The genetic PID algorithm is pr...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2019-01-01
|
Series: | Advances in Materials Science and Engineering |
Online Access: | http://dx.doi.org/10.1155/2019/2152914 |
id |
doaj-64ba15c18afb44eea853fe80587f7938 |
---|---|
record_format |
Article |
spelling |
doaj-64ba15c18afb44eea853fe80587f79382020-11-24T22:25:12ZengHindawi LimitedAdvances in Materials Science and Engineering1687-84341687-84422019-01-01201910.1155/2019/21529142152914Control Design of the Wave Compensation System Based on the Genetic PID AlgorithmMingjian Zhou0Yuqin Wang1Haibing Wu2School of Mechanical Engineering, Chaohu University, Chaohu, Anhui, ChinaSchool of Mechanical Engineering, Chaohu University, Chaohu, Anhui, ChinaSchool of Mechanical Engineering, Chaohu University, Chaohu, Anhui, ChinaThe transfer function of the wave compensation system is deduced. The interference signal acting on the system is eliminated by the feed-forward compensation correction method. The pole assignment of the system is carried out after eliminating the interference signal. The genetic PID algorithm is proposed, and the genetic PID controller is designed. The control block diagram of the wave compensation system based on the genetic PID control algorithm is established, and the optimal index and PID parameters are optimized by the crossover and mutation operators of the genetic particle swarm optimization algorithm. The simulations and experiments of the system show that the control performance of the wave compensation system based on the genetic PID algorithm is greatly improved. The higher control precision is obtained. The anti-interference ability and the robustness of the system are increased. The accuracy of the control method is verified.http://dx.doi.org/10.1155/2019/2152914 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mingjian Zhou Yuqin Wang Haibing Wu |
spellingShingle |
Mingjian Zhou Yuqin Wang Haibing Wu Control Design of the Wave Compensation System Based on the Genetic PID Algorithm Advances in Materials Science and Engineering |
author_facet |
Mingjian Zhou Yuqin Wang Haibing Wu |
author_sort |
Mingjian Zhou |
title |
Control Design of the Wave Compensation System Based on the Genetic PID Algorithm |
title_short |
Control Design of the Wave Compensation System Based on the Genetic PID Algorithm |
title_full |
Control Design of the Wave Compensation System Based on the Genetic PID Algorithm |
title_fullStr |
Control Design of the Wave Compensation System Based on the Genetic PID Algorithm |
title_full_unstemmed |
Control Design of the Wave Compensation System Based on the Genetic PID Algorithm |
title_sort |
control design of the wave compensation system based on the genetic pid algorithm |
publisher |
Hindawi Limited |
series |
Advances in Materials Science and Engineering |
issn |
1687-8434 1687-8442 |
publishDate |
2019-01-01 |
description |
The transfer function of the wave compensation system is deduced. The interference signal acting on the system is eliminated by the feed-forward compensation correction method. The pole assignment of the system is carried out after eliminating the interference signal. The genetic PID algorithm is proposed, and the genetic PID controller is designed. The control block diagram of the wave compensation system based on the genetic PID control algorithm is established, and the optimal index and PID parameters are optimized by the crossover and mutation operators of the genetic particle swarm optimization algorithm. The simulations and experiments of the system show that the control performance of the wave compensation system based on the genetic PID algorithm is greatly improved. The higher control precision is obtained. The anti-interference ability and the robustness of the system are increased. The accuracy of the control method is verified. |
url |
http://dx.doi.org/10.1155/2019/2152914 |
work_keys_str_mv |
AT mingjianzhou controldesignofthewavecompensationsystembasedonthegeneticpidalgorithm AT yuqinwang controldesignofthewavecompensationsystembasedonthegeneticpidalgorithm AT haibingwu controldesignofthewavecompensationsystembasedonthegeneticpidalgorithm |
_version_ |
1725758962551226368 |