标题:Study and simulation of permanent magnet synchronous motors based on neuron self-adaptive PID
作者:Lu, Han ;Shu-Yuan, Wang ;Sheng-Nan, Li
作者机构:[Lu, Han ;Shu-Yuan, Wang ] State Grid tai'An Power Supply Compony, State Grid Shandong Electric Power Compony, Tai'an, China;[Sheng-Nan, Li ] College 更多
会议名称:2017 Chinese Automation Congress, CAC 2017
会议日期:October 20, 2017 - October 22, 2017
来源:Proceedings - 2017 Chinese Automation Congress, CAC 2017
出版年:2017
卷:2017-January
页码:2668-2672
DOI:10.1109/CAC.2017.8243227
摘要:In view of the limitation of the traditional PID controller in the processing of nonlinear time-varying systems, a neuron adaptive PID control algorithm is proposed. Based on the traditional PMSM speed control, the neuron adaptive PID control method is adopted, using the Hebb learning algorithm, the error square is used as the performance index to adjust the parameters online in order to realize the fast tracking of motor speed. The simulation results show that compared with traditional PID control mode, the neuron adaptive PID control method can achieve fast response and high precision on permanent magnet synchronous motor.
© 2017 IEEE.
收录类别:EI
资源类型:会议论文
TOP