Selection of PI controller tuning parameters for speed control of PMSM using Biogeography Based Optimization algorithm

This investigation presents optimal selection of Proportional Integral (PI) controller parameters for the speed control in Permanent Magnet Synchronous Motor (PMSM). Optimal selection of PI controller parameters is necessary to improve performance of PMSM. For this purpose, this investigation uses two evolutionary optimization algorithms namely, Real coded Genetic Algorithm (RGA) and Bio-geography Based Optimization (BBO) algorithm. In order to showcase the improvements obtained by PI controller tuned using RGA and BBO algorithms, their performances are compared with the conventional PI controller. Our results indicates that the PI controller tuned using BBO algorithm provides better transient and steady state performance for PMSM.