Robust H∞ Controller of Tubular Linear Induction Motor with an Artificial Neural Network Compensator
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.
Robust H ∞ control Tubular linear induction motor Artificial neural network compensator
Qing Hu Jiao Wang Dongmei Yu Jiefan Cui
School of Electrical Engineering Shenyang University of Technology Shenyang, Liaoning Province, P.R. China
国际会议
2007 IEEE International Conference on Automation and Lofistics
山东济南
英文
2007-08-18(万方平台首次上网日期,不代表论文的发表时间)