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Guidance of an Autonomous Glider based on Proportional Navigation and Virtual Targets: A Hybrid Dynamical Systems Approach

机译:基于比例导航和虚拟目标的自主滑翔机制导:一种混合动力系统方法

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This paper presents a methodology for the guidance and control of an unmanned gliding aerial vehicle in the vertical plane of flight. The proposed method is based on proportional navigation (PN), enhanced by the definition of discrete virtual targets that guide the thrust-less vehicle from an initial state to a desired destination. First, optimal flight trajectories obtained through a non-linear dynamic optimization algorithm are used to explore the capabilities of the open-loop system. In light of these results, direct PN to the final target is shown to be ineffective for the system under study. Subsequently, virtual targets are defined along the optimal trajectories, thus improving the performance of the system in terms of range, final target capturing precision, and orientation control at the point of capture. The controlled system is then formulated as a Hybrid Dynamical System, allowing for robust simulation of its continuous and discrete dynamics, as well as simple implementation of the feedback law in practical applications, even with limited computational resources. All of these concepts are illustrated through various simulation results.
机译:本文提出了一种在垂直飞行平面上对无人滑行飞行器进行制导和控制的方法。所提出的方法基于比例导航(PN),通过离散虚拟目标的定义得到增强,该离散虚拟目标将无推力车辆从初始状态引导到所需目的地。首先,通过非线性动态优化算法获得的最优飞行轨迹被用于探索开环系统的功能。根据这些结果,直接PN到达最终目标对研究中的系统无效。随后,沿着最佳轨迹定义虚拟目标,从而在范围,最终目标捕获精度和捕获点的方向控制方面提高了系统的性能。然后将受控系统公式化为混合动力系统,从而可以对其连续和离散动力学进行可靠的仿真,并且即使在计算资源有限的情况下,也可以在实际应用中简单实现反馈定律。所有这些概念都通过各种模拟结果进行了说明。

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