A variable structure sliding mode Particle Swarm Optimization-PSO optimal regulating controller for industrial PMDC motor drives

The paper presents the novel application of particle swarm optimization PSO for the optimal tuning of an incremental sliding mode variable structure controller for high performance permanent magnet PMDC industrial motor drives. The proposed dynamic tri-loop controller utilizes the motor speed error (e_omega), the armature current deviation (e_I) from its maximum or ldquospecifiedrdquo allowable current level and dynamic current ripple error (e_R) as inputs to the PSO search algorithm tuned variable structure incremental sliding mode controller. The proposed tuned incremental sliding mode variable structure controller is based on the minimization of the absolute of total Error. The control voltage signal is used to regulate the firing delay angle alpha of the 3-phase controlled rectifier bridge.