Speed Control of DC Motor using PID Controller Based on Different Techniques ofPSO

[摘要] DC motors have been broadly used in industry even though its maintenance costs are higher than the induction motor. Design a speed controller of a DC motor by selection of PID parameters using Different Techniques of Particle Swarm Optimization (PSO). DC motor could be represented by a nonlinear model when nonlinearities such as magnetic saturation are considered. To provide effective control, nonlinearities and uncertainties in the model must be taken into account in the control design. This paper presents different techniques of Particle Swarm Optimization (PSO) based on a variation of coefficients according to iteration number and adaptively with cognitive and social best positions of the swarm. The several techniques of PSO are Particle Swarm Optimization (PSO), Adaptive Weighted Particle Swarm Optimization (AWPSO), Adaptive Acceleration Coefficients Particle Swarm Optimization (AACPSO) and Modified Adaptive Acceleration Coefficients Particle Swarm Optimization (MAACPSO). These four kinds of tuning methods for parameters of PID controller will be compared based on improved performance and effectiveness over them.

[关键词] DC motor;Particle swarm optimization;Adaptive acceleration coefficients;Adaptive weight;Modified adaptiveacceleration coefficient