Title: Optimal design of PIDA controller for induction motor using Spider Monkey Optimization algorithm

Authors: Ajay Sharma; Harish Sharma; Annapurna Bhargava; Nirmala Sharma

Addresses: Department of Electrical Engineering, Rajasthan Technical University, Kota, India ' Department of Computer Science and Engineering, Rajasthan Technical University, Kota, India ' Department of Electrical Engineering, Rajasthan Technical University, Kota, India ' Department of Computer Science and Engineering, Rajasthan Technical University, Kota, India

Abstract: Induction motors are widely used in power system due to their robustness, even though induction motors are highly non-linear and their control is quite complicated. Proportional integral derivative acceleration (PIDA) controller is used with induction motor for improving its efficiency. But, finding optimal PIDA controller parameters is a complex task and cannot be easily dealt by the available analytical strategies. As the nature inspired algorithms (NIAs) have shown their accuracy and efficiency to solve such complicated optimization problems, in this paper, a recent NIA, namely Spider Monkey Optimization (SMO) algorithm is used for finding the optimal PIDA controller's parameters for controlling the induction motor. As per the best of authors knowledge, it is the first attempt to design optimal PIDA controller's parameters for induction motor through any swarm intelligence motivated algorithm.

Keywords: PIDA control; spider monkey optimisation; swarm intelligence; metaheuristics; optimal design; controller design; induction motors; proportional integral derivative acceleration; nature inspired algorithms; motor control.

DOI: 10.1504/IJMHEUR.2016.081156

International Journal of Metaheuristics, 2016 Vol.5 No.3/4, pp.278 - 290

Received: 27 Jan 2016
Accepted: 29 Jul 2016
Published online: 24 Dec 2016 *

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