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An appropriate application of fuzzy logic: a missile autopilot for dual control implementation

机译:模糊逻辑的适当应用:用于双重控制的导弹自动驾驶仪

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A controller designed with fuzzy logic can nonlinearly map input error states to output control command actions while conventional state space methods are limited to a planar correlations between the input error, the output command and the previous value of the output command. This paper presents an example application where it is desirable to use this attribute of fuzzy logic. A pitch plane autopilot is designed for a supersonic missile simultaneously using aft fin and forward propulsive control. An ambiguously stated performance index involving response and divert performance and energy usage is achieved and demonstrated to require a nonlinear correlation between the input and output of the controller.
机译:设计有模糊逻辑的控制器可以将输入错误状态非线性映射到输出控制命令动作,而常规状态空间方法仅限于输入错误,输出命令和输出命令的先前值之间的平面相关性。本文提出了一个示例应用程序,其中需要使用模糊逻辑的此属性。俯仰平面自动驾驶仪设计用于同时使用后鳍和前向推进控制的超音速导弹。实现了一个含糊不清的性能指标,涉及响应,转移性能和能源使用,并证明需要在控制器的输入和输出之间建立非线性关联。

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