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
fDate :
May 30 2007-June 1 2007
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;
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
DOI :
10.1109/ICCA.2007.4376676
