Adaptive Inverse Induction Machine Control Based on Variable Learning Rate BP Algorithm

摘要：

The adaptive inverse control technology is utilized for induction machine (IM) control. Adaptive inverse control is actually an open-loop control scheme and so in the adaptive inverse control the instability problem caused by feedback control is avoided and the better dynamic performances can also be achieved. Linear LMS technique of adaptive inverse control is extended to control the MIMO, nonlinear IM based on BP neural network. And the BP algorithm is improved by using variable learning rate. Simulation study is made to validate the effectiveness of the control scheme.

关键词： adaptive inverse control induction machine neural network variable learning rate

作者: Shuying Xie Chengjin Zhang Xiangli Xiao

作者单位: School of Control Science and Engineering Shandong University Jinan, Shandong, China, 250061

会议类型: 国际会议

会议名称: 2007 IEEE International Conference on Automation and Lofistics

会议地点: 山东济南

会议语种:英文

在线出版日期: 2007-08-18（万方平台首次上网日期，不代表论文的发表时间）