关键词: 超螺旋滑模观测器, 无刷直流电机, 开关函数, 模糊控制, 粒子群优化算法, 遗传算法

Abstract: To improve the stability and reliability of brushless DC motor control, a control method based on improved super twisting sliding mode observer was proposed. A hyperbolic function was adopted as the switching function of the super twisting sliding mode observer to avoid the shaking during the control process; PSO-GA hybrid algorithm was used to improve the fuzzy control, and the input error and error transformation of the super twisting sliding mode observer were
adjusted online. The simulation results show that under the control of this method, the phase error between the commutation signal and Hall signal of the brushless DC motor was about 1×10^-6 s and the speed estimation error was about 5 r/min. It could be concluded that the control method based on improved super twisting sliding mode observer can achieve stable and reliable control of the brushless DC motor.

Key words: super twisting sliding mode observer, brushless DC motor, switching function, fuzzy control, particle swarm optimization( PSO) algorithm, genetic algorithm( GA)