Control Design of the Wave Compensation System Based on the Genetic PID Algorithm
Joint Authors
Zhou, Mingjian
Wang, Yuqin
Wu, Haibing
Source
Advances in Materials Science and Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-09-17
Country of Publication
Egypt
No. of Pages
13
Abstract EN
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.
American Psychological Association (APA)
Zhou, Mingjian& Wang, Yuqin& Wu, Haibing. 2019. Control Design of the Wave Compensation System Based on the Genetic PID Algorithm. Advances in Materials Science and Engineering،Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1119413
Modern Language Association (MLA)
Zhou, Mingjian…[et al.]. Control Design of the Wave Compensation System Based on the Genetic PID Algorithm. Advances in Materials Science and Engineering No. 2019 (2019), pp.1-13.
https://search.emarefa.net/detail/BIM-1119413
American Medical Association (AMA)
Zhou, Mingjian& Wang, Yuqin& Wu, Haibing. Control Design of the Wave Compensation System Based on the Genetic PID Algorithm. Advances in Materials Science and Engineering. 2019. Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1119413
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1119413
