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Nonlinear disturbance observer based robust backstepping control for a flexible air-breathing hypersonic vehicle

机译:基于非线性干扰观测器的柔性呼吸高超音速飞行器鲁棒反推控制

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This paper presents a robust backstepping approach for a flexible air-breathing hypersonic vehicle in the longitudinal plane. The control design and stability analysis of the backstepping approach are based on a control-oriented model, which treats the flexible dynamics as dynamic perturbations. The backstepping method in this study utilizes a command filter to avoid the problem of "explosion of complexity" that occurs in the traditional backstepping method. To suppress the flexible dynamics and parameter uncertainties, a nonlinear disturbance observer is proposed to estimate these uncertainties during the tracking process. By introducing a group of virtual states, a Lyapunov-based stability analysis of the closed-loop system indicates that the tracking errors vanish asymptotically. A guideline for tuning the controller is given from a physical perspective to avoid exciting the flexible modes. This approach presents a good tracking performance with respect to both the flexible modes and parameter uncertainties. Simulation results of the full nonlinear model show the effectiveness of the proposed approach. (C) 2016 Elsevier Masson SAS. All rights reserved.
机译:本文提出了一种在纵向平面上用于柔性呼吸超音速飞行器的稳健的反推方法。 Backstepping方法的控制设计和稳定性分析基于面向控制的模型,该模型将柔性动力学视为动态扰动。本研究中的反推方法利用命令过滤器来避免传统反推方法中出现的“复杂性爆炸”问题。为了抑制柔性动力学和参数不确定性,提出了一种非线性扰动观测器来估计跟踪过程中的这些不确定性。通过引入一组虚拟状态,基于Lyapunov的闭环系统稳定性分析表明跟踪误差渐近消失。从物理角度给出了调整控制器的指南,以避免激发灵活的模式。该方法在灵活模式和参数不确定性方面均表现出良好的跟踪性能。完全非线性模型的仿真结果表明了该方法的有效性。 (C)2016 Elsevier Masson SAS。版权所有。

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