Title :
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
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;
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
DOI :
10.1109/ICMLC.2008.4620718
