DocumentCode
2006730
Title
Application of Reinforcement Learning in PMLM Speed Control
Author
Hong-Xia, Guo ; Jie, Wu ; Yong-Qiang, Liu
Author_Institution
South China Univ. of Technol., Guangzhou
fYear
2007
fDate
May 30 2007-June 1 2007
Firstpage
1823
Lastpage
1827
Abstract
Reinforcement learning is used in permanent magnet linear motor control system in this paper. The proposed controller used the reinforcement signal from plant when the system model is unknown. The controller´s parameters could be updated by use of adaptive heuristic assessment algorithm. The simulation results show that the proposed method can make the system have more dynamic performance and steady accuracy.
Keywords
angular velocity control; electric machine analysis computing; linear motors; machine control; permanent magnet motors; PMLM speed control; adaptive heuristic assessment algorithm; permanent magnet linear motor control system; reinforcement learning; Adaptive control; Automatic control; Control systems; Gears; Heuristic algorithms; Learning; Permanent magnet motors; Programmable control; Stators; Velocity control; Reinforcement learning; action critic element; action selection element; adaptive heuristic assessment algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Automation, 2007. ICCA 2007. IEEE International Conference on
Conference_Location
Guangzhou
Print_ISBN
978-1-4244-0818-4
Electronic_ISBN
978-1-4244-0818-4
Type
conf
DOI
10.1109/ICCA.2007.4376676
Filename
4376676
Link To Document