Design and Implementation of Particle Swarm Optimization (PSO) Tuned PID Controller for Speed Control of Permanent Magnet Brush Less DC (PMBLDC) Motor

This paper presents the design and implementation of Particle Swarm Optimization (PSO) tuned PID controller for speed control of Permanent Magnet Brush Less DC (PMBLDC) motor using LabVIEW. PMBLDC motor is widely used in industrial applications like aeronautics, robotics, medical, food, chemical and automated industrial equipments. It is a synchronous motor with high efficiency, high torque-to-weight ratio and faster dynamic response. For effective speed control of PMBLDC motor, PID controller is tuned using Particle Swarm Optimization (PSO) algorithm due to its simplicity and fast convergence to optimum values. When compared with traditional Zeigler-Nichols method (Z-N) and evolutionary Genetic Algorithm (GA), PID controller tuned with PSO algorithm provides an improved time response performance with faster settling time, negligible peak overshoot and effective speed control. This is emphasized by considering numerical examples of various systems like non-oscillatory, oscillatory, integrating and non-minimum phase. The results obtained indicate that PSO-PID performs better than the other two methods. Hence, it is concluded that PSO-PID algorithm is ideal to control the speed of PMBLDC motor effectively with increased efficiency.