Position Sensorless Control for PMSM Based on Diagonal Recurrent Neural Network

摘要：

The rotor position observers were designed based on diagonal recurrent neural network (DRNN). The neural rotor position estimation process is separated into two neural observers, a stator current estimator, and a angular velocity estimator. The angle estimation block generates rotor angle by integrating the estimated angular velocity, with adjustment derived from the current estimation error. Through experimentation, 12 neurons in the hidden recurrent layer were found to produce good results for the neural current observer. The output layer contains two neurons: one for each the direct and quadrature axis current estimates. The simulation results show the estimated rotor angle error is small, and the robust property is good when step load changes.

关键词： DRNN current estimator velocity estimator

作者: SUN Fanjin LIU Yancheng CHEN Yang

作者单位: Department of Marine Engineering, Dalian Maritime University Dalian, LiaoNing, 116026

会议类型: 国际会议

会议名称: 第七届国际测试技术研讨会

会议地点: 北京

会议语种:英文

在线出版日期: 2007-08-05（万方平台首次上网日期，不代表论文的发表时间）