Title: Fixed structure constrained preview control design using enhanced PSO approach

Authors: Nidhika Birla; Akhilesh Swarup

Addresses: Department of Electrical Engineering, National Institute of Technology, Kurukshetra, Kurukshetra – 136119, Haryana, India ' Department of Electrical Engineering, National Institute of Technology, Kurukshetra, Kurukshetra – 136119, Haryana, India

Abstract: This paper proposes the design of fixed structure preview controller with multiple objectives in constrained environment using hybrid technique based on co-evolutionary particle swarm optimisation and marriage in honey bees optimisation algorithm. The paper, also, presents a comparative evaluation of the commonly used constraint - handling approaches in evolutionary algorithms with the proposed hybrid multi-objective constrained co-evolutionary particle swarm optimisation (MOCC-PSO) procedure. The available procedures and the proposed algorithm are evaluated and verified using MATLAB platform for engineering design problems, namely autonomous control of under-water vehicle and 2-DOF helicopter. The results validate the ability of the algorithm in terms of the quality of solution obtained in the constrained environment and the ease to implement the non-classical objectives and constraints.

Keywords: preview control; discrete-time systems; state feedback control; co-evolutionary PSO; marriage in honey bees optimisation; MBO; particle swarm optimisation; constraints; engineering design; autonomous control; underwater vehicles; 2-DOF helicopters.

DOI: 10.1504/IJAISC.2014.062828

International Journal of Artificial Intelligence and Soft Computing, 2014 Vol.4 No.2/3, pp.120 - 143

Accepted: 13 Jan 2014
Published online: 19 Jun 2014 *

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