Optimal Multi-incremental Self Regulating Speed Controller for Industrial PMDC Motor Drive Systems

The paper presents the application of Particle Swarm Optimization PSO technique for the tuning of error-driven self-adjusting multi loop dynamic speed regulator for large industrial PMDC motor drives. Tri-loop dynamic error driven Multi-incremental self regulating controller is simulated and tuned using Particle Swarm optimization PSO for high performance permanent magnet PMDC industrial motor drives. The proposed dynamic control scheme utilizes speed, current, dynamic momentum excursion error and current dynamic ripple errors as inputs to vary the firing delay angle a of the 6-pulse controlled Thyristor rectifier. The selection of optimal control gains is essential for effective robust dynamic tracking of different speed reference trajectories. The optimization process is based on minimizing either the system total error, the steady state error, settling time, rising time, and maximum overshoot.