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Experimental Comparison of Nonlinear Guidance Laws for Unmanned Aircraft

机译:无人机非线性指导法的实验比较

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Two aircraft guidance algorithms from the literature, the Non-Linear Guidance Law (NLGL) and the Nonlinear Differential Geometric Path-Following Guidance Law (NDGPFG), are assessed using a 25 kg unmanned aerobatic aircraft. The paper provides experimental results of the first flight test with the NDGPF. Prior to the real world application, a simulation study is performed to mitigate the risk. For both guidance laws, tracking performance is investigated on a purely kinematic model with unlimited control bandwidth first. Both laws provide superb tracking and the NDGPFG achieves exact path-following, i. e. zero track error. In a second simulation, a high-fidelity model of the aircraft is used. This model includes parasitic dynamics and hence has a finite control bandwidth. In contrast to the results with the purely kinematic model, neither of the algorithms achieves exact path-following with the high-fidelity model. Nevertheless, both guidance laws provide good tracking performance and prove feasible in varying environmental conditions. This observation is finally confirmed in the flight test experiment.
机译:来自文献的两种飞机引导算法,非线性指导法(NLGL)和非线性微分几何路径跟随的指导法(NDGPFG)进行评估,使用25公斤无人驾驶飞机进行评估。本文提供了NDGPF的第一次飞行试验的实验结果。在真实世界的应用之前,进行模拟研究以减轻风险。对于这两个指导法,请在纯粹的运动模型中调查跟踪性能,首先具有无限制的控制带宽。这两个法律都提供了极好的跟踪,并且NDGPFG实现了精确的路径次数。 e。零轨误差。在第二模拟中,使用飞机的高保真模型。该模型包括寄生动态,因此具有有限的控制带宽。与纯运动模型的结果相比,算法中都不会使高保真模型实现精确的路径。尽管如此,这两个指导法都提供了良好的跟踪性能,并在不同的环境条件下证明可行。在飞行试验实验中最终确认了这种观察。

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