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Attitude Tracking Control of Gravity Gradient Microsatellite in Maneuvering for Space Exploration

机译:太空探索机动中重力梯度微卫星的姿态跟踪控制

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摘要

The problem of the finite-time tracking control strategy is studied for a gravity gradient microsatellite BUAA-SAT in maneuvering. The contributions of the work are mainly shown in two aspects: 1) the analysis of the combined forcing action of the gravity and the constant thrust; 2) a method of the adaptive finite-time sliding mode tracking control. In orbital maneuvering, the gravity gradient microsatellite under a constant thrust shows complicated dynamics. The stability and pendular motion of the gravity gradient microsatellite are determined by the combined action of the gravity and the constant thrust. The dynamics characteristics revealed in this paper are conducive to derive an expected attitude trajectory for the attitude tracking control, which not only ensures the flight safety but also reduces the energy consumption of the controller. In order to avoid the vibration and the structure deformation of the coilable mast, the microsatellite is required to track the expected attitude trajectory in a finite time. Compared with existing finite-time sliding mode control methods, a desired tracking error function with a simple polynomial form is designed to eliminate the reaching phase problem and to enable the tracking error to converge to zero in a finite time; besides, an adaptive law is presented to solve the problem of the boundary of uncertainty. The Lyapunov stability analysis is performed to show the global finite-time convergence of tracking errors. A numerical case of the gravity gradient microsatellite is studied to demonstrate the effectiveness of the proposed controller.
机译:研究了重力梯度微卫星BUAA-SAT在机动过程中的有限时间跟踪控制策略问题。这项工作的贡献主要表现在两个方面:1)分析重力和恒定推力的联合作用。 2)一种自适应的有限时间滑模跟踪控制方法。在轨道操纵中,恒定推力作用下的重力梯度微卫星表现出复杂的动力学。重力梯度微卫星的稳定性和摆动运动取决于重力和恒定推力的组合作用。本文揭示的动力学特性有利于推导姿态跟踪控制的预期姿态轨迹,不仅保证了飞行安全,而且降低了控制器的能耗。为了避免可卷曲桅杆的振动和结构变形,需要微卫星在有限的时间内跟踪预期的姿态轨迹。与现有的有限时间滑模控制方法相比,设计了具有简单多项式形式的所需跟踪误差函数,以消除到达相位问题,并使跟踪误差在有限时间内收敛为零。此外,提出了一种自适应法则来解决不确定性边界的问题。进行Lyapunov稳定性分析以显示跟踪误差的全局有限时间收敛。研究了重力梯度微卫星的数值情况,以证明所提出的控制器的有效性。

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