Controller Design for PMSM Based on Multi-step Predictive Neural Network

摘要：

Based on multi-step predictive control algorithm, a novel speed controller is proposed for the high performance drives of permanent-magnet synchronous-motor (PMSM) with artificial neural networks(ANN).The weights of ANN are trained online by using the extended Kalman filter(EKF) algorithm, and the training starts simultaneously along with the PMSM. The usefulness and validity of the proposed method are verified in a PMSM drive system in Matlab. The simulation results indicate that the controller has good performance at both transient and steady states, and also at variable-speed operation or load variation.

作者: Yanxia Shen Yongqi Cheng Zhicheng Ji

作者单位: Institute of Electric Automatic Southern Yangtze University Wuxi , Jiangsu 214122

会议类型: 国际会议

会议名称: Fourth International Conference on Impulsive and Hybrid Dynamical Systems(ICIHDS 2007)(第四届国际脉冲和混合动力系统学术会议)

会议地点: 南宁

会议语种:英文

在线出版日期: 2007-07-20（万方平台首次上网日期，不代表论文的发表时间）