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Optimal Tuning of Multi-Stages Fuzzy Guidance Law via Genetic Algorithms

机译:基于遗传算法的多阶段模糊制导律的优化调整

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摘要

In this paper, a multi-stages fuzzy-based guidance law is proposed 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 of all the fuzzy controllers are optimally tuned by the method of genetic algorithms. The simulation results show that the proposed design technique was able to generate a fuzzy-based missile guidance law with a satisfactory performance in terms of the interception time, the missile acceleration commands and the miss distance.
机译:本文提出了一种由三个模糊控制器组成的多阶段基于模糊的制导律。这些控制器中的每一个都在拦截区域激活。隶属函数的分布和所有模糊控制器的规则都通过遗传算法进行了优化。仿真结果表明,所提出的设计技术能够生成基于模糊的导弹制导律,在拦截时间,导弹加速指令和失误距离方面均具有令人满意的性能。

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