Adaptive speed control in the PMSM drive for a non-stationary repetitive process using particle swarms

This paper presents the adaptive speed control in the permanent synchronous motor (PMSM) drive for a non-stationary repetitive process using particle swarms. The implementation of the particle swarm optimizer (PSO) for the speed controller on-line optimization in PMSM drive system is proposed. The PSO is utilized for the purpose of optimizing in real-time the proportional and integral gains of the speed PI controller for the PMSM drive system with a variable moment of inertia. The variable evaporation factor is introduced, instead of the classical evaporation constant for the PSO. The proposed PSO optimization solution is investigated with the aid of numerical simulation.