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Disturbance observer-based sliding mode backstepping control for a re-entry vehicle with input constraint and external disturbance

机译:具有输入约束和外部干扰的基于再扰车辆的基于扰动观测器的滑模反推控制

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摘要

An attitude controller is designed for a reusable launch vehicle (RLV) during the re-entry phase with input constraint, model uncertainty and external disturbance. A control-oriented model with matched and unmatched uncertainty is first derived for the control design. To proceed, the control scheme is designed taking advantage of the robust stability property of sliding mode control, the compensation ability of the non-linear disturbance observer (DOB) technique and the systematic design procedure of the backstepping technique. An additional system, the states of which are used for controller design and stability analysis, is constructed to handle the input constraint. The time derivative of the virtual control input is considered as an uncertainty to eliminate the explosion of terms' problem inherent in backstepping control. Moreover, the proposed method alleviates the chattering problem of the traditional sliding mode backstepping control scheme. Stability analysis of the composite control scheme consisting of the designed controller and the DOB is performed via Lyapunov theory. Finally, simulation results are compared to show that the proposed method is able to achieve better tracking performance and tackles input constraints more effectively than an adaptive filter backstepping control scheme.
机译:姿态控制器专为可重复使用的运载火箭(RLV)在重新进入阶段而设计,具有输入约束,模型不确定性和外部干扰。首先为控制设计导出具有匹配和不匹配不确定性的面向控制的模型。接下来,利用滑模控制的鲁棒稳定性,非线性干扰观测器(DOB)技术的补偿能力以及反推技术的系统设计程序,设计了该控制方案。构造了一个附加系统,其状态用于控制器设计和稳定性分析,以处理输入约束。虚拟控制输入的时间导数被认为是一种不确定性,可以消除反步控制中固有的术语问题的激增。此外,所提出的方法减轻了传统的滑模反推控制方案的抖动问题。由Lyapunov理论对由设计的控制器和DOB组成的复合控制方案的稳定性进行分析。最后,比较仿真结果表明,与自适应滤波器反推控制方案相比,该方法能够实现更好的跟踪性能,更有效地解决输入约束。

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