Fixed structure constrained preview control design using enhanced PSO approach Online publication date: Sat, 28-Jun-2014
by Nidhika Birla; Akhilesh Swarup
International Journal of Artificial Intelligence and Soft Computing (IJAISC), Vol. 4, No. 2/3, 2014
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.
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