DESIGN OF AN OPTIMIZED CONTROLLER FOR DC MOTOR SPEED CONTROL USING ABC AND PSO: A COMPARATIVE STUDY
Publication Date : 01/02/2019
This paper presents a comparative analysis of a PID based DC motor speed control, using particle swarm optimization (PSO) algorithm and artificial bee colony (ABC) algorithm. A model of a DC motor is obtained for its speed control, and a PID controller is designed through a unity feedback for proper control of the speed. PSO algorithm and ABC algorithm are used to optimize the parameters (Kp, Ki & Kd) of the PID controller using the Integral of the Absolute Error (IAE) as cost function. A comparative analysis of the performance of each algorithm is made with respect to maximum overshoot, settling time and rise time obtained from a step response. Result indicates that the PSO performs better than ABC algorithm in term of settling time (with 5.81% improvement) and rise time. However, the ABC converges faster with lesser overshoot of 12.61%.
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