Orginal Article
. Symbiosis Institute of Technology, Symbiosis International University, Pune 412115, India.. Department of Instrumentation and Control Engineering, College of Engineering, Pune 411005, India.. Odette School of Business, University of Windsor, Windsor N9B3P4, Canada.
Available online: 2018-05-28
Abstract
The cohort intelligence (CI) method has recently evolved as an optimization method based on artificial intelligence. We use the CI method for the first time to optimize the parameters of the fractional proportionalintegral-derivative (PID) controller. The performance of the CI method in designing the fractional PID controller was validated and compared with those of some other popular algorithms such as particle swarm optimization, the genetic algorithm, and the improved electromagnetic algorithm. The CI method yielded improved solutions in terms of the cost function, computing time, and function evaluations in comparison with the other three algorithms. In addition, the standard deviations of the CI method demonstrated the robustness of the proposed algorithm in solving control problems.