Comparation between GA and PSO Controller Optimization for PMSM Driving
This paper presents a comparative study of two popular Evolutionary Algorithms (EA): GeneticAlgorithms (GA) andParticle Swarm Optimization (PSO) for optimal tuning of Proportional Integral (PI) speed controller in Permanent Magnet Synchronous Motor (PMSM) drives.Comparisons between the results obtained by GA method and those by improved PSO method are made. The experimental results show that the PSO method can locate the optimal or near optimal parameter space and achieve a higher quality solution than the GA method.
P. Zhang and Z. Q. Song, "Comparation between GA and PSO Controller Optimization for PMSM Driving", Applied Mechanics and Materials, Vols. 130-134, pp. 300-303, 2012