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首页> 外文期刊>Mathematical Problems in Engineering: Theory, Methods and Applications >Adaptive Backstepping Finite Time Attitude Control of Reentry RLV with Input Constraint
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Adaptive Backstepping Finite Time Attitude Control of Reentry RLV with Input Constraint

机译:基于输入约束的再入式RLV自适应BackStepping有限时间姿态控制

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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下再入相位可重复使用发射车辆(RLV)的有限时间姿态跟踪控制问题。开发了一种控制的旋转动力学模型,并用于控制器设计,用于转换和旋转动力学的复杂耦合。首先,将快速终端滑模控制结合到考虑模型不确定性和外部干扰的设计控制器中。 “争论&#x201d爆炸; BackStepping控件中固有的问题由强大的二阶滤波器消除。其次,进一步考虑了输入约束存在的控制问题,并且开发了一个受约束的自适应反斜电动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随着计算负担的减少而估计集中不确定性的未知规范。执行闭环系统的Lyapunov基稳定性分析。通过模拟RLV的六维自由度(6-DOF)模型来呈现控制性能。

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