Model Parameter Adaptive Sliding Mode Model-Following Position Control of PMSM

摘要：

　　This paper aims at improving the robustness of the PMSM position control system with the parameter variation and load disturbance.A novel control strategy utilizing sliding mode model-following control (SMMFC) with the adaptive parameters observed by dual unscented Kalman filter (DUKF) observer is proposed.The switching gain of sliding mode is designed including the observed states of the system to suppress the chattering.The experimental results show that the robustness has been improved by sliding mode control,and the chattering has been well suppressed by switching gain adaptation depending on the observed states of the system.Meanwhile,the control accuracy has been enhanced by model-following control with parameter adaptation.The position control performance of PMSM has been improved by the proposed scheme.

关键词： Model Parameter Adaptation Dual Unscented Kalman Filter (DUKF) Sliding Mode Model-following PMSM Position Control

作者: Zhengjun Wang Junzheng Wang Hao Wang Jiangbo Zhao

作者单位: School of Automation,Beijing Institute of Technology Hai-Dian District,Beijing 100081,China

会议类型: 国际会议

会议名称: 2012 International Conference on Intelligent System and Applied Material(2012智能系统与应用材料国际会议)(GSAM2012)

会议地点: 太原

会议语种:英文

页码: 1089-1094

在线出版日期: 2012-01-13（万方平台首次上网日期，不代表论文的发表时间）