Fixed structure constrained preview control design using enhanced PSO approach

N. Birla, A. Swarup
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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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基于改进粒子群算法的固定结构约束预览控制设计
提出了一种基于协同进化粒子群优化和蜜蜂联姻优化算法的约束环境下多目标固定结构预瞄控制器的设计方法。本文还对进化算法中常用的约束处理方法与提出的混合多目标约束协同进化粒子群优化MOCC-PSO过程进行了比较评价。针对水下航行器和二自由度直升机的自主控制等工程设计问题,利用MATLAB平台对现有程序和算法进行了评估和验证。结果验证了该算法在约束环境下解的质量以及实现非经典目标和约束的便利性。
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