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首页> 外文期刊>IEEE transactions on industrial informatics >Fixed-Time Control With Uncertainty and Measurement Noise Suppression for Hypersonic Vehicles via Augmented Sliding Mode Observers
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Fixed-Time Control With Uncertainty and Measurement Noise Suppression for Hypersonic Vehicles via Augmented Sliding Mode Observers

机译:通过增强滑动模式观察者的超音速车辆的不确定性和测量噪声抑制的固定时间控制

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摘要

Uncertainty and measurement noise are main obstacles that limit the tracking control performances of flexible air-breathing hypersonic vehicles (FAHVs). In this article, we propose a novel fixed-time convergent nonsmooth backstepping control scheme for FAHV via augmented sliding mode observers (ASMOs) to overcome these obstacles. The ASMOs are first designed for the FAHV dynamics by employing the measured states corrupted by noises as inputs. On one hand, the ASMOs can simultaneously estimate the uncertainties and filter out the measurement noises. On the other hand, the observation error of each ASMO can be convergent within a fixed time independent of its initial observation error. Then, based on the estimation results, the altitude and velocity tracking controllers are developed by using fixed-time nonsmooth backstepping technique. Afterwards, a Lyapunov-based stability analysis is given to illustrate the fixed-time convergence of the closed-loop signals of the FAHV control system. Finally, comparative simulations are conducted to illustrate the superiority of the proposed control scheme.
机译:不确定性和测量噪声是主要障碍,限制柔性空气呼吸超声波(FAHV)的跟踪控制性能。在本文中,我们提出了一种新型的固定时间收敛非光滑反向控制方案,用于通过增强的滑动模式观察者(ASMO)来克服这些障碍。首先通过将噪声损坏为投入来设计ASMOS为FAHV动态设计。一方面,ASMO可以同时估计不确定性并过滤测量噪声。另一方面,每个ASMO的观察误差可以在与其初始观察误差无关的固定时间内收敛。然后,基于估计结果,通过使用固定时间的非光滑反向技术来开发高度和速度跟踪控制器。然后,给出了基于Lyapunov的稳定性分析来说明FAHV控制系统的闭环信号的定时收敛。最后,进行比较模拟以说明所提出的控制方案的优越性。

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