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Designing Integrated Fuzzy Guidance Law for Aerodynamic Homing Missiles Using Genetic Algorithms

机译:基于遗传算法的气动制导导弹综合模糊制导律设计。

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The Fuzzy logic controller (FLC) is well-known for robustness to parameter variations and ability to reject noise. However, its design requires definition of many parameters. This work proposes a systematic and simple procedure to develop an integrated fuzzy-based guidance law which consists of three FLC. Each is activated in a region of the interception. Another fuzzy-based switching system is introduced to allow smooth transition between these controllers. The parameters of all the fuzzy controllers, which include the distribution of the membership functions and the rules, are obtained simply by observing the function of each controller. Furthermore, these parameters are tuned by genetic algorithms by solving an optimization problem to minimize the interception time, missile acceleration commands, and miss distance. The simulation results show that the proposed procedure can generate a guidance law with satisfactory performance.
机译:模糊逻辑控制器(FLC)以其对参数变化的鲁棒性和抑制噪声的能力而闻名。但是,其设计需要定义许多参数。这项工作提出了系统的,简单的程序来开发由三个FLC组成的基于模糊的综合制导律。每个都在拦截区域激活。引入了另一个基于模糊的切换系统,以允许这些控制器之间的平稳过渡。所有模糊控制器的参数,包括隶属函数和规则的分布,只需观察每个控制器的功能即可获得。此外,通过解决优化问题以最小化拦截时间,导弹加速命令和未命中距离,这些参数可以通过遗传算法进行调整。仿真结果表明,所提出的程序能够产生令人满意的制导律。

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