Application of RS-Fuzzy in regulating velocity system

Author

Fu, Guangjie ; Li, Min ; Chen, Yaohui

Author_Institution

Dept. of Electr. & Inf. Eng., Daqing Pet. Inst., Daqing

fYear

2008

fDate

25-27 May 2008

Firstpage

975

Lastpage

978

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 shows that this control strategy is simple and efficient, and has better control characteristics than the optimized PID and fuzzy control strategies, fuzzy control rule can reflect control characteristics of the system.

Keywords

closed loop systems; electric drives; evolutionary computation; fuzzy control; intelligent control; thyristor applications; velocity control; PID control; RS-fuzzy applications; attribute reduction feature; double closed-loop DC thyristor; evolutionary algorithm; intelligent control strategy; parameter optimization; velocity drive system; velocity system regulation; Control systems; Data analysis; Evolutionary computation; Fuzzy control; Intelligent control; Petroleum; Process control; Set theory; Uncertainty; Velocity control; Power drives; fuzzy modeling; rough set;

fLanguage

English

Publisher

ieee

Conference_Titel

Human System Interactions, 2008 Conference on

Conference_Location

Krakow

Print_ISBN

978-1-4244-1542-7

Electronic_ISBN

978-1-4244-1543-4

Type

conf

DOI

10.1109/HSI.2008.4581576

Filename

4581576