Designing integrated guidance law for aerodynamic missiles by hybrid multi-objective evolutionary algorithm and tabu search

In this paper, a strength Pareto evolutionary algorithm (SPEA) based approach is proposed for designing an integrated fuzzy guidance law which consists of three fuzzy controllers. Each of these controllers is activated in a region of the interception. The distribution of the membership functions and...

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Vydáno v:	Aerospace science and technology Ročník 14; číslo 5; s. 356 - 363
Hlavní autoři:	Omar, Hanafy M., Abido, M.A.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Issy-les-Moulineaux Elsevier SAS 01.07.2010 Elsevier
Témata:	Algorithms Construction Evolutionary algorithm Evolutionary algorithms Exact sciences and technology Fundamental areas of phenomenology (including applications) Fuzzy Guidance Law Missile Missiles Multi-objective optimization Optimization Physics Solid dynamics (ballistics, collision, multibody system, stabilization...) Solid mechanics Tabu search Tradeoffs Guidance Missile Multi-objective optimization Tabu search Evolutionary algorithm Energy consumption Membership function Pareto optimum Hierarchical classification Multiobjective programming Solid dynamic Aerodynamics Constrained optimization Fuzzy logic Fuzzy control Interception Missile guidance
ISSN:	1270-9638, 1626-3219
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Abstract	In this paper, a strength Pareto evolutionary algorithm (SPEA) based approach is proposed for designing an integrated fuzzy guidance law which consists of three fuzzy controllers. Each of these controllers is activated in a region of the interception. The distribution of the membership functions and the rules are obtained by solving a nonlinear constrained multi-objective optimization problem where final time, energy consumption, and miss distance are treated as competing objectives. Tabu search is proposed to build a library of initial feasible solutions for the multi-objective optimization algorithm. In addition, a hierarchical clustering technique is implemented to provide the decision maker with a representative and manageable Pareto-optimal set without destroying the characteristics of the trade-off front. Moreover, a fuzzy-based mechanism is employed to extract the best compromise solution over the trade-off curve. The simulation results show that the proposed design technique was able to generate a missile guidance law with satisfactory performance with the existence of noisy measurements.
AbstractList	In this paper, a strength Pareto evolutionary algorithm (SPEA) based approach is proposed for designing an integrated fuzzy guidance law which consists of three fuzzy controllers. Each of these controllers is activated in a region of the interception. The distribution of the membership functions and the rules are obtained by solving a nonlinear constrained multi-objective optimization problem where final time, energy consumption, and miss distance are treated as competing objectives. Tabu search is proposed to build a library of initial feasible solutions for the multi-objective optimization algorithm. In addition, a hierarchical clustering technique is implemented to provide the decision maker with a representative and manageable Pareto-optimal set without destroying the characteristics of the trade-off front. Moreover, a fuzzy-based mechanism is employed to extract the best compromise solution over the trade-off curve. The simulation results show that the proposed design technique was able to generate a missile guidance law with satisfactory performance with the existence of noisy measurements.
Author	Abido, M.A. Omar, Hanafy M.
Author_xml	– sequence: 1 givenname: Hanafy M. surname: Omar fullname: Omar, Hanafy M. email: hmomar@kfupm.edu.sa organization: Aerospace Engineering Department, King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia – sequence: 2 givenname: M.A. surname: Abido fullname: Abido, M.A. email: mabido@kfupm.edu.sa organization: Electrical Engineering Department, King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia
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Keywords	Guidance Missile Multi-objective optimization Tabu search Evolutionary algorithm Energy consumption Membership function Pareto optimum Hierarchical classification Multiobjective programming Solid dynamic Aerodynamics Constrained optimization Fuzzy logic Fuzzy control Interception Missile guidance
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SubjectTerms	Algorithms Construction Evolutionary algorithm Evolutionary algorithms Exact sciences and technology Fundamental areas of phenomenology (including applications) Fuzzy Guidance Law Missile Missiles Multi-objective optimization Optimization Physics Solid dynamics (ballistics, collision, multibody system, stabilization...) Solid mechanics Tabu search Tradeoffs
Title	Designing integrated guidance law for aerodynamic missiles by hybrid multi-objective evolutionary algorithm and tabu search
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