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Adaptive Backstepping Finite Time Attitude Control of Reentry RLV with Input Constraint

机译:输入约束的再入RLV自适应反步有限时间姿态控制

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摘要

This paper presents the finite time attitude tracking control problem of reusable launch vehicle (RLV) in reentry phase under input constraint, model uncertainty, and external disturbance. A control-oriented model of rotational dynamics is developed and used for controller design for the complex coupling of the translational and rotational dynamics. Firstly, fast terminal sliding mode control is incorporated into backstepping control to design controller considering model uncertainty and external disturbance. The "explosion of terms" problem inherent in backstepping control is eliminated by a robust second order filter. Secondly, the control problem in the presence of input constraint is further considered, and a constrained adaptive backstepping fast terminal sliding mode control scheme is developed. At the control design level, adaptive law is employed to estimate the unknown norm bound of lumped uncertainty with the reduction of computational burden. The Lyapunov-based stability analysis of the closed-loop system is carried out. The control performance is presented via the simulation of six-degree-of-freedom (6-DOF) model of RLV.
机译:本文提出了在输入约束,模型不确定性和外部干扰条件下,可重复使用运载火箭进入再进入阶段的有限时间姿态跟踪控制问题。开发了面向控制的旋转动力学模型,并将其用于平移和旋转动力学的复杂耦合的控制器设计。首先,将快速终端滑模控制纳入反推控制中,以考虑模型不确定性和外部干扰来设计控制器。 Backstepping控制中固有的“术语爆炸”问题已通过强大的二阶滤波器消除了。其次,进一步考虑了存在输入约束条件下的控制问题,提出了一种约束自适应反步快速终端滑模控制方案。在控制设计级别,采用自适应定律来估计集总不确定性的未知范数边界,同时减轻计算负担。进行了基于李雅普诺夫的闭环系统稳定性分析。通过仿真RLV的六自由度(6-DOF)模型来显示控制性能。

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  • 来源
    《Mathematical Problems in Engineering》 |2014年第2期|801747.1-801747.19|共19页
  • 作者单位

    College of Electric Engineering and Automation, Tianjin University, No. 92, Weijin Road, Nankai District, Tianjin 300072, China;

    College of Electric Engineering and Automation, Tianjin University, No. 92, Weijin Road, Nankai District, Tianjin 300072, China;

    College of Electric Engineering and Automation, Tianjin University, No. 92, Weijin Road, Nankai District, Tianjin 300072, China;

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