Online Particle Swarm Optimization Design of Speed Controller considering Anti-windup for PMSM Drive System

A novel online particle swarm optimization is proposed to design anti-windup speed controller for PMSM drive system paper. It is complicated that conventional method with linear analysis and tuning the settings using trial-and-error methods during commissioning. An alternative approach, using particle swarm optimization algorithm devised to test and compare different parameters of speed controller, we search for the anti-windup speed controller to achieving the optimal compromise of variable speed at full load. The search is performed on-line, on the physical hardware, by continuously downloading and testing new solutions on a DSP running the control algorithms in real time. The controller obtained through PSO significantly outperforms alterative schemes obtained with conventional design techniques.