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Byrnes-Isidori-based dynamic sliding-mode control for nonminimum phase hypersonic vehicles

机译:基于Byrnes-Isidori的非最小相位高超音速飞行器动态滑模控制

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This paper deals with the dynamic sliding-mode (DSM) control problem for nonminimum phase hypersonic vehicles (HSVs). When the elevator is the only control surface available for the altitude dynamics, the HSV model exhibits unstable zero dynamics, preventing the application of standard inversion-based control techniques. To solve this problem, a DSM control method based on Byrnes-Isidori (B-I) normalized form is proposed, achieving asymptotic tracking of velocity and Flight-Path-Angel (FPA) while stabilizing internal dynamics. First, for the pitch dynamics with nonminimum phase behavior, external dynamics and internal dynamics are determined by coordinate transformation to convert the longitudinal model to B-I normalized form, based on which a criterion of nonminimum phase property is given by the stability analysis of internal dynamics. Then, a DSM control method is proposed for the EPA subsystem of nonminimum phase, which transforms the output tracking problem into stabilization problem of an augmented system consisting of internal dynamics and dynamic compensator, making closed-loop pole adjustable, and thus improves the tracking performance. The principle of parameters determination is proposed, which is proved to achieve the stability of the system on the sliding surface. Besides, nonlinear disturbance observer is utilized to compensate the error caused by dynamic inversion control. The proposed method is compared with approximate backstepping control and is shown to have superior tracking accuracy as well as robustness from the simulation results. This paper may also provide a beneficial guidance for control design of other complex systems of nonminimum phase. (C) 2019 Elsevier Masson SAS. All rights reserved.
机译:本文研究了非最小相位超音速飞行器(HSV)的动态滑模(DSM)控制问题。当电梯是唯一可用于高度动态的控制面时,HSV模型显示出不稳定的零动态,从而阻止了基于标准反转的控制技术的应用。为了解决这个问题,提出了一种基于Byrnes-Isidori(B-I)归一化形式的DSM控制方法,该方法在稳定内部动力学的同时实现了速度和飞行路径天使(FPA)的渐近跟踪。首先,对于具有非最小相位行为的螺距动力学,通过坐标变换确定外部动力学和内部动力学,以将纵向模型转换为B-I归一化形式,然后通过内部动力学的稳定性分析,给出非最小相位特性的准则。然后,针对非最小相位的EPA子系统提出了一种DSM控制方法,将输出跟踪问题转化为由内部动力学和动态补偿器组成的增强系统的稳定问题,使闭环极点可调,从而提高了跟踪性能。 。提出了参数确定的原理,并证明了该系统在滑动面上的稳定性。此外,利用非线性干扰观测器来补偿动态反演控制引起的误差。将该方法与近似反推控制进行了比较,仿真结果表明该方法具有较好的跟踪精度和鲁棒性。本文还可以为非最小相位的其他复杂系统的控制设计提供有益的指导。 (C)2019 Elsevier Masson SAS。版权所有。

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