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A novel strategy for space manipulator detumbling a non-cooperative target with collision avoidance

机译:一种新颖的空间机械手策略,脱离碰撞避免非合作目标

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摘要

This paper presents a collision-free detumbling strategy (CFDS) for a space manipulator to detumble a non-cooperative target while avoiding collisions in a static or dynamic environment. The joints' acceleration limits as well as the dynamic uncertainties of manipulator and target are taken into account. This strategy is comprised of a detumbling velocity trajectory generator and a trajectory tracking control scheme. An acceleration potential field (AccPF) method is proposed to plan the detumbling velocity trajectory, whose attractive potential field eliminates the initial momentum while the repulsive one forces the manipulator away from obstacles. Besides, an RBF neural network (RBFNN) adaptive control scheme is established to track the planned detumbling velocity trajectory while keeping the attitude of the base unchanged. What's more, the stability of this control scheme is validated by a defined Lyapunov function. Several simulations were carried out, and the results validate the effectiveness of the CFDS.
机译:本文提出了一种无碰撞的脱模策略(CFD),用于空间机械手,以解除非协作目标,同时避免在静态或动态环境中的碰撞。关节的加速限制以及操纵器和目标的动态不确定性被考虑在内。该策略包括脱臼速度轨迹发生器和轨迹跟踪控制方案。提出了一种加速势领域(ACCPF)方法来规划脱离速度轨迹,其吸引力潜在场消除了初始动力,而排斥迫使操纵器远离障碍物。此外,建立RBF神经网络(RBFNN)自适应控制方案以跟踪计划的拆卸速度轨迹,同时保持基部的姿态不变。更重要的是,通过定义的Lyapunov函数验证了该控制方案的稳定性。进行了几种模拟,结果验证了CFD的有效性。

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