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Compensation of base disturbance using optimal trajectory planning of dual-manipulators in a space robot

机译:使用空间机器人中双操纵器的最优轨迹规划来补偿基础干扰

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This paper presents a trajectory planning algorithm for a space robot with dual-manipulators. Here one manipulator of the space robot captures a target, and another manipulator is free. In this case, this study uses one manipulator as the mission manipulator to capture the target, and another as the balance manipulator aiming at the compensation of the pose disturbance. For this method, a novel trajectory planning algorithm applied to the balance manipulator is presented. The trajectory planning problem is transformed into series of problems of the optimal state solution, and then the iterative algorithms for the trajectory planning are designed. In the iterative algorithms, the bias force on the spacecraft base caused by the balance manipulator is used as the compensation force. Then, to calculate the expected compensation force and torque, a pose control law for the spacecraft base is introduced. The expected compensation force and torque provide equality constraints for optimization problems, which implies that the trajectory planning algorithm compensates for not only the disturbance generated by the manipulator's motion, but also environmental disturbances. This is because the expected compensation force and torque depend on the pose change of the spacecraft base rather than the type of the disturbance. Numerical simulation was carried out to analyze the proposed trajectory planning method. It was observed that the method greatly reduces the disturbance of Manipulator A on the spacecraft base. These results validated the effectiveness of the proposed method for the trajectory planning to make the spacecraft base disturbance up to minimum. (C) 2018 COSPAR. Published by Elsevier Ltd. All rights reserved.
机译:本文提出了一种具有双操纵器的空间机器人的轨迹规划算法。在此,太空机器人的一个操纵器捕获了一个目标,而另一个操纵器是空闲的。在这种情况下,本研究使用一个操纵器作为任务操纵器来捕获目标,并使用另一个操纵器作为平衡操纵器,以补偿姿势干扰。针对该方法,提出了一种应用于平衡机的新型轨迹规划算法。将轨迹规划问题转化为最优状态解的一系列问题,然后设计轨迹规划的迭代算法。在迭代算法中,将由平衡操纵器在航天器基座上产生的偏压力用作补偿力。然后,为了计算预期的补偿力和扭矩,引入了航天器基座的姿态控制定律。预期的补偿力和转矩为优化问题提供了相等的约束,这意味着轨迹规划算法不仅可以补偿机械手运动产生的干扰,还可以补偿环境干扰。这是因为预期的补偿力和扭矩取决于航天器基座的姿态变化,而不是干扰的类型。进行了数值模拟,分析了所提出的弹道规划方法。观察到该方法极大地减少了航天器基座上操纵器A的干扰。这些结果验证了所提出的用于轨迹规划的方法的有效性,该轨迹规划使航天器基础干扰达到最小。 (C)2018年COSPAR。由Elsevier Ltd.出版。保留所有权利。

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