Optimal tuning of tri-loop dynamic error driven controller for industrial PMDC motor drives based on particle swarm optimization-PSO

The paper presents the novel application of Particle Swarm optimization PSO for the optimal tuning of a driven error controller for high performance permanent magnet PMDC industrial motor drives. PSO searching algorithm is implemented for tuning the proposed dynamic tri-loop controller gains: the motor speed error (eomega), the armature current deviation (e_I) from its maximum or ldquospecifiedrdquo allowable current level and dynamic current ripple error (e_R) that define the total error function (e_t), the integral of the total error and the integral of the total error square. The control voltage signal is used to regulate the firing delay angle alpha of the 3-phase controlled rectifier bridge.