Research on Brushless DC Motor Control Based on Improved Sliding Mode Observer
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.
super twisting sliding mode observerbrushless DC motorswitching functionfuzzy controlparticle swarm optimization(PSO)algorithmgenetic algorithm(GA)
万方数据
维普
