Optimal state feedback control of brushless direct-current motor drive systems based on Lyapunov stability criterion  

作　　者：WANG Wei JIN Ruo-jun JIANG Jing-ping 

机构地区：[1]College of Mechatronics Engineering China .Jiliang University, Hangzhou 310018. China [2]School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China

出　　处：《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》2007年第12期1889-1893,共5页浙江大学学报（英文版）A辑（应用物理与工程）

摘　　要：This paper develops a unified methodology for a real-time speed control of brushless direct-current motor drive systems in the presence of measurement noise and load torque disturbance. First, the mathematical model and hardware structure of system is established. Next, an optimal state feed back controller using the Kalman filter state estimation technique is derived. This is followed by an adaptive control algorithm to compensate for the effects of noise and disturbance. Those two algorithms working together can provide a very-high-speed regulation and dynamic response over a wide range of operating conditions. Simulated responses are presented to highlight the effectiveness of the proposed control strategy.This paper develops a unified methodology for a real-time speed control of brushless direct-current motor drive systems in the presence of measurement noise and load torque disturbance. First, the mathematical model and hardware structure of system is established. Next, an optimal state feed back controller using the Kalman filter state estimation technique is derived. This is followed by an adaptive control algorithm to compensate for the effects of noise and disturbance. Those two algorithms working together can provide a very-high-speed regulation and dynamic response over a wide range of operating conditions. Simulated responses are presented to highlight the effectiveness of the proposed control strategy.

关 键 词：Brushless DC motor Adaptive control Optimal state feedback 

分 类 号：TM921[电气工程—电力电子与电力传动]