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Nonlinear robust neuro-adaptive flight control for hypersonic vehicles with state constraints

机译：具有状态约束的高超声速车辆的非线性强大的神经自适应飞行控制

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摘要

This paper presents a new nonlinear robust neuro-adaptive state-constrained control formulation for effectively controlling a hypersonic flight vehicle in cruise. The proposed controller ensures that the vehicle velocity, attitude and angular body rates remain bounded within the prescribed limits. The asymptotic stability of the closed-loop system in presence of imposed state constraints is shown following barrier Lyapunov function based stability theory. A Sobolev norm-based adaptive control scheme is used along with the nominal controller to ensure the stability of the vehicle in the presence of model uncertainties (as high as 30%). The adaptive control formulation leads to quick learning with much lesser transients and is robust enough not to violate the imposed state-constraints. The effectiveness of the proposed nonlinear control design is illustrated by carrying out a large number of Monte-Carlo like randomized high fidelity six-degree-of-freedom (Six-DOF) simulation studies.
机译：本文介绍了一种新的非线性鲁棒神经自适应状态约束控制配方，用于有效地控制巡航中的超音速飞行车辆。所提出的控制器确保车辆速度，姿态和角体率保持在规定的限度范围内。基于障碍Lyapunov功能的稳定性理论，示出了在存在施加的状态约束存在下的闭环系统的渐近稳定性。基于SOBOLEV规范的自适应控制方案以及标称控制器一起使用，以确保车辆在模型不确定性的存在下的稳定性（高达30％）。自适应控制配方导致快速学习，瞬变更大，并且足够强大，不违反强加的状态约束。所提出的非线性控制设计的有效性通过执行大量的蒙特卡罗，如随机高保真六程度的自由度（六分行）模拟研究。

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