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A fault detection and isolation scheme for formation control of fixed-wing UAVs

机译:固定翼无人机编队控制的故障检测与隔离方案

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This paper presents an approach to fault detection and isolation for a network composed by multiple Unmanned Aerial Vehicles (UAVs) flying in formation. The methodology consists on the use of a bank of unknown input observers (UIO) that runs in each UAV in order to generate a set of residual signals, that will be used to perform the detection. To this end, we consider an extended version of the unicycle model to describe the kinematics of the UAVs and apply a convenient coordinate transformation to make the resulting closed loop dynamics of the overall multi-UAVs so that be described by two almost identical decoupled affine systems. This allows us to use a linear procedure by considering the independent term as a constant known external input. Simulation results under non-linear faults in the UAVs are presented and discussed.
机译:本文提出了一种由多个编队飞行的无人机组成的网络的故障检测和隔离方法。该方法包括使用在每个UAV中运行的一组未知输入观察器(UIO),以生成一组残差信号,这些残差信号将用于执行检测。为此,我们考虑使用单轮模型的扩展版本来描述无人机的运动学,并应用便捷的坐标转换以使整个多无人机的闭环动力学成为可能,从而由两个几乎相同的解耦仿射系统来描述。这使我们可以通过将独立项视为恒定的已知外部输入来使用线性过程。提出并讨论了无人机非线性故障下的仿真结果。

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