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Design of Fractional Order Controller for PMSM Based on the improved Particle Swarm Optimization Algorithm

Abstract. In order to improve control quality of permanent magnet synchronous motor(PMSM) systems, a fractional order control method based on improved particle swarm optimization algorithm is proposed. Firstly, the mathematical model of permanent magnet synchronous motor is established. Then, this paper proposes a design method of fractional order controller for correction projectiles based on inertia weight adaptive particle swarm optimization algorithm (IWAPSO). Non-linear adjustment strategy of inertia weight is introduced to improve convergence accuracy of algorithm so as to obtain the global optimal solution. IWAPSO algorithm is applied to optimize the parameter of the fractional order PIλDμ controller, which is applied to control the speed loop of synchronous motor systems. Simulation results show that an IWAPSO algorithm is proposed for the parameter tuning of the controller and the fractional order controller has better robustness and anti-interference performance.