Torque Ripple Reduction of Brushless DC Motor Based on Optimal Control with Adaptive Compensation

摘要：

The inherent torque ripple of brushless DC motor limited its scope of application. In this paper, the state space model of system was derived from the mathematical model of motor to generate the desired current An optimal state feedback controller using the Kalman filter state estimation technique was established aimed at ripple free torque control. Ari active disturbance rejection control algorithm was proposed to compensate for the effects of input disturbance. Experimental results are presented that these two algorithms working together are capable of reducing the torque ripple effectively under the condition of constant torque load.

关键词： brushless DC motor torque ripple state estimation optimal control adaptive compensation

作者: Guanxiong Li Jinglin Liu hihe Yang

作者单位: College of Automation, Northwestern Polytechnical University Xi An, P.R.China College of Automation Northwestern Polytechnical University Xi An,P.R.China

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 377-381

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）