Abstract—In this paper, An Intelligent PID Controller has been tuned by minimizing the Integral of Time multiplied Absolute Error (ITAE) and squared control signal (ITAESCS) for a DC motor. The parameters of PID controller, automatically and intelligently are determined by Chaotic Particle Swarm Optimization (CPSO) Algorithm. The experimental results demonstrate that the performance of proposed Intelligent CPSO-PID controller is superior to the conventional Ziegler-Nichols method in terms of settling time, maximum overshoot and ITAESCS.

Index Terms—PID controller, chaotic particle swarm optimization, DC motor.

The authors are with the Department of Electrical and Computer Engineering, Babol (Noushirvani) University of Technology, Babol, Iran (e-mail: mojallali@guilan.ac.ir, mojallali@gmail.com)

Cite: Reza Gholipour, Jalil Addeh, Hamed Mojallali, and Alireza Khosravi, "Multi-Objective Evolutionary Optimization of PID Controller by Chaotic Particle Swarm Optimization," International Journal of Computer and Electrical Engineering vol. 4, no. 6, pp. 833-838, 2012.