Intelligent tuned PID controllers for PMSM drive - a critical analysis

Abstract

This paper presents a critical analysis of intelligent tuned PID controllers for the permanent magnet synchronous motor drive. The PID proportional-integral-derivative (PID) controller is the most popular controller in process industry. The PID algorithm is simple, reliable and robust for the control of first and second order processes and even high order processes with well damped modes. In this paper, PID control strategies, based on fuzzy logic, neural network and genetic algorithms are reviewed and implemented. A mathematical model of the drive is developed to study steady state and transient performance of current regulated voltage source inverter (VSI) fed PMSM in the field oriented mode under different conditions. The drive includes PID controller, vector control structure, the inverter and the machine. Different tuning algorithms and their effect on dynamic performance of PMSM drive in the real time frame are illustrated in terms of starting and speed reversal time, steady state error in speed, overshoot, performance parameters and speed and torque ripple. Good agreements between different methods has been observed and presented.