A hybrid bacterial foraging - PSO algorithm based tuning of optimal FOPI speed controller

Abstract

Bacterial Foraging Optimization Algorithm (BFOA) has recently emerged as a very powerful technique for real parameter optimization. In order to overcome the delay in optimization and to further enhance the performance of BFO, this paper proposed a new hybrid algorithm combining the features of BFOA and Particle Swarm Optimization (PSO) for tuning a Fractional order speed controller in a Permanent Magnet Synchronous Motor (PMSM) Drive. Computer simulations illustrate the effectiveness of the proposed approach compared to that of basic versions of PSO and BFO.