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Adaptive control of hypersonic vehicles using guardian maps theory

机译:使用监护地图理论的高超声速控制自适应控制

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Compared with traditional vehicles, the dynamic model of hypersonic vehicles features higher nonlinearity, tighter coupling and stronger uncertainty. What's more, the designed controller needs to have more stringent performance demands as well as robustness requirements. According to the guardian maps theory, a proposed design method can adaptively adjust control parameters in relation to the given control structure for hypersonic vehicles. First, a linear parameter varying (LPV) model of a hypersonic vehicle is established, and after that handling qualities are translated in terms of eigenvalue confinement. Then for a fixed controller architecture and initial controller gains, a set of control parameters is adjusted automatically using this theory while ensuring generalized stability in the expected flight process. Finally, an example of a hypersonic vehicle is provided in simulation to verify the feasibility of the proposed control method.
机译:与传统车辆相比,超音速车辆的动态模型具有更高的非线性,更严格的耦合和更强的不确定性。更重要的是,设计的控制器需要具有更严格的性能需求以及鲁棒性要求。根据监护地图理论,提出的设计方法可以自适应地调整与超音速车辆的给定控制结构相关的控制参数。首先,建立超音速车辆的线性参数变化(LPV)模型,之后在特征值限制方面翻译处理质量。然后,对于固定控制器架构和初始控制器增益,使用该理论自动调整一组控制参数,同时确保预期飞行过程中的广义稳定性。最后,在模拟中提供了超声波车辆的示例以验证所提出的控制方法的可行性。

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