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首页> 外文期刊>Journal of guidance, control, and dynamics >Four-Dimensional Aircraft Taxiway Conformance Monitoring with Constrained Stochastic Linear Hybrid Systems
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Four-Dimensional Aircraft Taxiway Conformance Monitoring with Constrained Stochastic Linear Hybrid Systems

机译：约束随机线性混合系统的二维飞机滑行道一致性监测

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摘要

A taxiway confoimance-monitoring algorithm is proposed using constrained stochastic linear hybrid systems, a mathematical modeling method that models a system as a set of modes with different constrained continuous dynamic models, with random switching between the modes to model conforming and nonconforming (to the assigned taxi route) motion of an aircraft on a taxiway. A state estimator for each constrained stochastic linear hybrid system generates a residual that indicates the conformance of the aircraft to the respective model. A spatial nonconformance is detected by posing statistical tests to determine which of the models the aircraft is mostly likely following. The state estimator using the hybrid model produces an accurate estimate that is projected into a coordinate frame that moves with the modeled aircraft position. Information about the temporal conformance of the aircraft is found from the coordinates of the aircraft in this frame. The algorithm is tested with simulations from four different nonconforming scenarios from the Cleveland-Hopkins airport The results from the proposed algorithm are compared with results from four algorithms: an algorithm that models only the conforming aircraft as a constrained stochastic linear hybrid system, two corresponding unconstrained detection algorithms, and a position-based conformance-monitoring algorithm representing the current state of the art. The comparison demonstrates that the proposed algorithm significantly improves the mean detection time, reducing the detection time by up to 7 s compared with the baseline with small (less than 10%) false alarm rates.
机译：提出了一种使用约束随机线性混合系统的滑行道运行状况监控算法，该数学建模方法是将系统建模为一组具有不同约束连续动态模型的模式，并在模式之间随机切换以对符合和不符合进行建模（分配给滑行路线）的飞机在滑行道上的运动。每个受约束的随机线性混合系统的状态估计器会产生一个残差，该残差指示飞机与相应模型的一致性。通过进行统计测试以确定飞机最有可能遵循哪种模型来检测空间不符合项。使用混合模型的状态估计器会产生准确的估计，该估计被投影到随建模的飞机位置移动的坐标系中。从该帧中飞机的坐标中可以找到有关飞机时间一致性的信息。使用来自克利夫兰-霍普金斯机场的四种不同不合格场景的仿真对算法进行了测试。将所提出算法的结果与四种算法的结果进行了比较：一种仅将符合条件的飞机建模为约束随机线性混合系统的算法，两个对应的不受约束的模型检测算法，以及代表当前技术水平的基于位置的一致性监控算法。比较结果表明，与基线相比，该算法显着提高了平均检测时间，与基线相比，检测时间减少了多达7 s，误报率小（小于10％）。

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