APPLICATION OF NEURAL SLIDING MODE CONTROL FOR PMLSM SERVO SYSTEM

摘要：

Permanent Magnet Linear Synchronous Motor (PMLSM) was widely used for its good features, but its hard to control with traditional control strategy for parameters variation and external load disturbance. The neural sliding mode controller was constructed with PMLSM mathematical models analyzed, also the RBF neural networks structure and algorithm was proposed. The neural network sliding mode controller was constructed with switch function as the input of neural network and sliding mode controller as the output. The simulation shows the sliding mode controller with good control performance of adaptive and position servo tracking.

关键词： Permanent magnet linear synchronous motor Neural sliding mode control RBF neural network Simulation

作者: CHEN JING WANG WU MAO LIN

作者单位: School of Electrical and information Engineering,Xu Chang University, China Power Co,,Ltd Power Grid Corp Xu Chang, China

会议类型: 国际会议

会议名称: 3rd International Conference on Mechanical and Electrical Technology(ICMET2011) (2011第三届机械与电气技术国际会议)

会议地点: 大连

会议语种:英文

页码: 661-665

在线出版日期: 2011-08-26（万方平台首次上网日期，不代表论文的发表时间）