A modified design of PID controller for permanent magnet synchronous motor drives using particle swarm optimization

This paper presents the use of new particle swarm optimization (PSO) technique for tuning the PID speed controller adaptively for permanent magnet synchronous machine (PMSM) drives. The new PSO algorithm minimizes the integral square error of speed response for a PMSM drives. This algorithm uses a modified cost function that includes information about position following and overshoot error of the step response. Simulation results show that the controller that is tuned with this new PSO algorithm is superior to the traditionally tuned one in such a way that it has a smaller torque ripple and a smaller speed reference tracking error. Moreover, considering nonlinear structure of the inverter, optimization through actual system takes long time. In order to shorten the optimization time, new method that simplifies the current loop is applied.