Strategy Research Of Auto Disturbance Rejection Control Of Switched Reluctance Motor

Auto disturbance rejection controller (ADRC) based on the classical PID control,are improved, the extended state observer (hereinafter referred to as ESO) all theuncertainties are attributed to the total disturbance system to give the estimation andcompensation system. This makes the ADRC control process is simple, and caneffectively restrain the torque ripple of switched reluctance motor, the disadvantage isthe control parameters. Switched reluctance motor has the advantages of simplestructure, wide speed range, how to reduce the vibration and noise are the currentresearch hotspot.The design of the switched reluctance motor (hereinafter referred to as the SRmotor or SRM) control system, the active disturbance rejection control technique foravoiding the difficulties of SR motor is highly nonlinear, strong coupling caused by. Toobserve the disturbance by internal disturbance rejection controller ESO, which makesthe control system has good tracking performance and stability. Based on activedisturbance rejection control system to reduce the torque ripple of SR motor system andits induced vibration.In this paper, using the immune particle swarm optimization algorithm fusionsimplex of ADRC is optimized, the join algorithm immune clonal selection operator andthus inhibit PSO getting into local optimal effect, later merging NM simplex algorithmto improve the accuracy of particle swarm algorithm. In this paper, the authorestablished the immune particle swarm optimization algorithm fusion simplex tuningADRC control system, which is applied to the switched reluctance motor drive system,can effectively reduce the torque ripple of switched reluctance motor, and accordingsimulation experiments to analyses the feasibility of optimization control scheme inswitched reluctance motor drives.