Application of RS-Fuzzy in regulating velocity system

Author

Fu, Guangjie ; Li, Min ; Chen, Yaohui

Author_Institution

Dept. of Electron. Sci., Daqing Inst. of Pet., Daqing

Volume

4

fYear

2008

fDate

12-15 July 2008

Firstpage

1909

Lastpage

1913

Abstract

Combined with the RS attribute reduction feature and the ability of the mind evolutionary algorithm in parameter optimization, this paper proposes a new intelligent control strategy based on RS that control the double closed-loop DC thyristor regulating velocity drive system. The simulation results show that this control strategy is simple and has better control effect than the optimized PID and conventional fuzzy control, fuzzy control rules can reflect control performance of the system.

Keywords

DC motor drives; angular velocity control; closed loop systems; evolutionary computation; fuzzy control; intelligent control; rough set theory; three-term control; thyristors; RS attribute reduction feature; RS-FUZZY; double closed-loop DC thyristor; fuzzy control; intelligent control strategy; mind evolutionary algorithm; optimized PID control; parameter optimization; velocity drive system regulation; Control systems; Evolutionary computation; Fuzzy control; Intelligent control; Machine learning; Machine learning algorithms; Optimization methods; Power system modeling; Set theory; Velocity control; Fuzzy modeling; Power drives; Rough set;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2008 International Conference on

Conference_Location

Kunming

Print_ISBN

978-1-4244-2095-7

Electronic_ISBN

978-1-4244-2096-4

Type

conf

DOI

10.1109/ICMLC.2008.4620718

Filename

4620718