A novel Particle Swarm optimization PSO tuning scheme for PMDC motor drives controllers

The paper presents the novel application of particle swarm optimization PSO for the optimal tuning of PID controller for high performance permanent magnet PMDC industrial motor drives. This will smooth the starting torque; enhance acceleration and dynamic tracking of the reference speed. The permanent magnet PMDC motor drive is fed from a 3-phase AC supply via a six pulse thyristor controlled rectifier. The dynamic error driven controller regulates the firing delay angle (alpha) using the particle swarm optimization PSO tuning PID block. The proposed dynamic tri-loop controller utilizes the motor speed error (e_w), 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 gain search algorithm. The control voltage signal is used to regulate the firing delay angle alpha of the 3-phase controlled rectifier bridge. The proposed tuned PID controller is based on the minimization of the absolute of total Error.