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Adaptive tracking control for air-breathing hypersonic vehicles with attack angle constraints

机译：具有迎角约束的呼吸高超音速飞行器的自适应跟踪控制

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The design of the attack angle constrained control for hypersonic vehicles is important to ensure the scramjet engine run normally in practice, and is not taken into account in many existing results. In this paper, an adaptive neural control scheme is proposed for the longitudinal model of a class of hypersonic vehicles. Based on the backstepping technique and barrier Lyapunov functions, the attack angle can be confined in a predefined set. Besides, with the aid of the minimal learning parameter technique, there is only one parameter needs to be estimated at each design step. The proposed scheme is able to guarantee that all closed-loop signals are bounded and all tracking errors converge to some small residue sets. Simulation studies are presented to illustrate the effectiveness of the proposed control scheme.
机译：高超音速飞行器的迎角约束控制的设计对于确保超燃冲压发动机在实践中能够正常运行很重要，并且在许多现有结果中均未予以考虑。本文针对一类高超音速飞行器的纵向模型提出了一种自适应神经控制方案。基于反推技术和屏障Lyapunov函数，可以将迎角限制在预定义的集合中。此外，借助最小学习参数技术，在每个设计步骤仅需要估计一个参数。所提出的方案能够保证所有闭环信号都是有界的，并且所有跟踪误差都收敛到一些小的残差集。仿真研究表明了提出的控制方案的有效性。

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