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Robust trajectory tracking control of a dual-arm space robot actuated by control moment gyroscopes

机译:控制力矩陀螺仪驱动的双臂空间机器人的鲁棒轨迹跟踪控制

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It is a new design concept to employ control moment gyroscopes (CMGs) as reactionless actuators for space robots. Such actuation has several noticeable advantages such as weak dynamical coupling and low power consumption over traditional joint motor actuation. This paper presents a robust control law for a CMG actuated space robot in presence of system uncertainties and closed-chain constraints. The control objective is to make the manipulation variables to track the desired trajectories, and reduce the possibility of CMG saturation simultaneously. A reduced-order dynamical equation in terms of independent motion variables is derived using Kane's equations. Desired trajectories of the independent motion variables are derived by minimum-norm trajectory planning algorithm, and an adaptive sliding mode controller with improved adaptation laws is proposed to drive the independent motion variables tracking the desired trajectories. Uniformly ultimate boundedness of the closed loop system is proven using Lyapunov method. The redundancy of the full-order actual control torques is utilized to generate a null torque vector which reduces the possibility of CMG angular momentum saturation while producing no effect on the reduced-order control input. Simulation results demonstrate the effectiveness of the proposed algorithms and the advantage of weak dynamical coupling of the CMG-actuated system.
机译:将控制力矩陀螺仪(CMG)用作太空机器人的无反应执行器是一种新的设计概念。与传统的联合电动机致动相比,这种致动具有几个明显的优点,例如,动力耦合弱,功耗低。本文针对存在系统不确定性和闭链约束的CMG太空机器人提出了鲁棒的控制律。控制目标是使操纵变量能够跟踪所需轨迹,并同时降低CMG饱和的可能性。使用Kane方程推导了基于独立运动变量的降阶动力学方程。通过最小范数轨迹规划算法推导了独立运动变量的期望轨迹,并提出了一种具有改进自适应律的自适应滑模控制器,以驱动独立运动变量跟踪期望轨迹。使用Lyapunov方法证明了闭环系统的一致极限极限。利用全阶实际控制转矩的冗余来生成空转矩矢量,该转矩矢量降低了CMG角动量饱和的可能性,同时对降阶控制输入没有影响。仿真结果证明了所提算法的有效性以及CMG驱动系统动力耦合弱的优势。

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