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An Online Implementable Differential Evolution Tuned Optimal Guidance Law

Thangavelu, Raghunathan and Pradeep, S (2007) An Online Implementable Differential Evolution Tuned Optimal Guidance Law. In: Genetic And Evolutionary Computation Conference . pp. 2190-2194.

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Official URL: http://portal.acm.org/citation.cfm?id=1277378

Abstract

This paper proposes a novel application of differential evolution to solve a difficult dynamic optimisation or optimal control problem. The miss distance in a missile-target engagement is minimised using differential evolution. The difficulty of solving it by existing conventional techniques in optimal control theory is caused by the nonlinearity of the dynamic constraint equation, inequality constraint on the control input and inequality constraint on another parameter that enters problem indirectly. The optimal control problem of finding the minimum miss distance has an analytical solution subject to several simplifying assumptions. In the approach proposed in this paper, the initial population is generated around the seed value given by this analytical solution. Thereafter, the algorithm progresses to an acceptable final solution within a few generations, satisfying the constraints at every iteration. Since this solution or the control input has to be obtained in real time to be of any use in practice, the feasibility of online implementation is also illustrated.

Item Type: Journal Article
Additional Information: copyright of this article belongs to Association for Computing Machinery.
Keywords: Missile guidance; optimal guidance law; evolutionary algorithm; differential evolution; optimal control; online implementation
Department/Centre: Division of Mechanical Sciences > Aerospace Engineering (Formerly, Aeronautical Engineering)
Date Deposited: 06 Jan 2010 07:18
Last Modified: 19 Sep 2010 05:41
URI: http://eprints.iisc.ernet.in/id/eprint/22284

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