Multiobjective Evolutionary Algorithm for Designing Fuzzy-Based Missile Guidance Laws

作者：Omar Hanafy M^*; Abido M A

来源：Journal of Aerospace Engineering, 2011, 24(1): 89-94.

DOI：10.1061/(ASCE)AS.1943-5525.0000057

• Multiobjectives
• Evolutionary algorithm
• Missile
• Guidance
• Fuzzy control

In this paper, a strength Pareto evolutionary algorithm based approach is proposed for designing a multistage fuzzy-based 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 multiobjective optimization problem where final time, energy consumption, and miss distance are treated as competing objectives. 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 which has better performance than the classical proportional guidance law.

• 出版日期2011-1
• 单位中国石油大学（北京）