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...

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Main Authors: Mingjian Zhou, Yuqin Wang, Haibing Wu
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
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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
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