Switched Reluctance Motors Direct Torque Control Research Based on RBF Neural Network and Fuzzy Adaptive PID Controller

摘要：

For the defects of conventional direct torque control (DTC) system of switched reluctance motors (SRM), RBF neural network (RBFNN) and fuzzy adaptive PID controller are applied to direct torque control system of SRM in the paper. Switching state table is replaced by RBFNN; fuzzy adaptive PID controller is applied to the outer loop for speed adjustment In order to verify the validity of the method, simulation is carried out based on the Matlab7.1. Results of experiment show that the control system has good performances.

关键词： SRM RBFNN DTC Fuuy Adaptive PID Simulation

作者: Jun Hang You-rui Huang Li Li

作者单位: Institute of Electrical & Information Engineering Anhui University of Science & Technology Huainan,China

会议类型: 国际会议

会议名称: 2010 Second International Conference on Intelligent Human-Machine Systems and Cybernetics(第二届智能人机系统与控制论国际学术会议 IHMSC 2010)

会议地点: 南京

会议语种:英文

页码: 135-138

在线出版日期: 2010-08-26（万方平台首次上网日期，不代表论文的发表时间）