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A fuzzy logic optimal solution to the CMMCA tracking problem

机译:CMMCA跟踪问题的模糊逻辑最优解

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Fuzzy logic is used with an LQG controller to solve a tracking problem for the US Air Force's C-18 cruise missile mission control aircraft (CMMCA). The CMMCA's mission is to radar track and clear cruise missiles (CM) during test flights using an AN/APG-63 air-to-air radar similar to that in the McDonnell-Douglas F-15. Because of altitude and maneuverability differences, as well as the complexity of the CM flight profiles, maintaining radar coverage is very difficult. Previous work was only able to provide acceptable tracking for a small portion of a turn. Using fuzzy logic to supervise a linear quadratic controller, 100% radar coverage was obtained by a controller capable of real-time implementation.
机译:模糊逻辑与LQG控制器一起使用,可以解决美国空军C-18巡航导弹任务控制飞机(CMMCA)的跟踪问题。 CMMCA的任务是在试飞过程中使用类似于McDonnell-Douglas F-15的AN / APG-63空对空雷达来雷达跟踪和清除巡航导弹(CM)。由于高度和机动性差异以及CM飞行剖面的复杂性,维持雷达覆盖范围非常困难。先前的工作只能在很小的转弯中提供可接受的跟踪。使用模糊逻辑来监督线性二次控制器,能够实时实现的控制器可获得100%的雷达覆盖率。

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