DocumentCode :
3474819
Title :
Robust h controller of tubular linear induction motor with an artificial neural network compensator
Author :
Hu, Qing ; Wang, Jiao ; Yu, Dongmei ; Cui, Jiefan
Author_Institution :
Shenyang Univ. of Technol., Shenyang
fYear :
2007
fDate :
18-21 Aug. 2007
Firstpage :
1988
Lastpage :
1993
Abstract :
The techniques of robustness control of tubular linear induction motor system with an artificial neural network (ANN) compensator are presented. A new motor control system is designed. A robust H controller is used to control the velocity control system, and an ANN compensator is designed to compensate the variable system parameters. The proposed designed system can commendably restrain the outer disturbances, and the proposed system has better robustness performance. The experimental simulations have shown that the proposed system is capable of giving desirable performance.
Keywords :
Hinfin control; compensation; control system synthesis; electric machine analysis computing; linear induction motors; neurocontrollers; robust control; velocity control; artificial neural network compensator; motor control system design; robust Hinfin controller; tubular linear induction motor; velocity control system; Artificial neural networks; Control systems; Electric variables control; Hafnium; Induction motors; Motor drives; Robust control; Robustness; Synchronous motors; Velocity control; Robust H control, Tubular linear induction motor, Artificial neural network compensator;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation and Logistics, 2007 IEEE International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-1531-1
Type :
conf
DOI :
10.1109/ICAL.2007.4338900
Filename :
4338900
Link To Document :
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