Optimal State Feedback Controller Design For Speed Control System Of Brushless DC Motor

Comparing with AC motor, brushless DC motor(BLDCM) has the advantages of simple structure, reliable operation and ease maintenance. And compared with DC motor, it features high efficiency, less excitation loss and good speed performance, etc. Research on the application of BLDCM is one of hot topics now.The BLDCM has been widely used in CNC machine tools, robots, instrumentation, automotive, computer peripherals and other fields.Firstly, this paper introduces the basic working principle of BLDCM and the research situation of each component. Then, on the basis of detailed analysis of the BLDCM mathematical model, the principle of changing phase and PWM modulation, combined wih SimPowerSystems module in the MATLAB Simulink, a novel and more realistic BLDCM speed system simulation model is constructed, and its control method research is carried on by simulation.Along with the requirements increasing, the conventional PID method is not good engough on many occasions. Against the existence of all kinds of disturbance, using Kalman filtering and dynamic programming algorithm, this method suppresses the model interference and measurement noise(including load mutation), and compesates the given input disturbance. Then an optimal state feedback control scheme with adaptive compensation is given for BLDCM speed system. Simulation and experimental results show that this scheme not only has excellent speed performance, but also is insensitive to a variety of sysem disturbance. In this paper, the research on advanced algorithm has important practical significance to further promote the BLDCM applications.