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Dynamics and control of space free-flyers with multiple manipulators

机译:具有多个机械手的空间自由飞行者的动力学和控制

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摘要

This paper studies the motion control of a multiple manipulator free-flying space robot chasing a passive object in near proximity. Free-flyer kinematics are developed using a minimum set of body-fixed barycentnc vectors. Using a general and a quasi-coordinate Lagrangian formulation, equations of motion for model-based controllers are derived. Two model-based and one transposed Jacobian control algorithms are developed that allow coordinated tracking control of the manipulators and the spacecraft. In particular, an Euler parameter model-based control algorithm is presented that overcomes the non-physical singularities due to Euler angle representation of attitude. To ensure smooth operation, and. reduce disturbances on the spacecraft and on the object just before grasping, appropriate trajectories for the motion of spacecraft/manipulators are planned. The performance of model-based algorithms is compared, by simulation, to that of a transposed Jacobian algorithm. Results show that due to the complexity of space robotic systems, a drastic deterioration in the performance of model-based algorithms in the presence of model uncertainties results. In such cases, a simple transposed Jacobian algorithm yields comparable results with much reduced computational burden, an issue which is very important in space.
机译:本文研究了多机械手自由飞行空间机器人的运动控制,该机器人跟踪附近的被动物体。自由飞行器运动学是使用最少的身体固定重心向量开发的。使用一般和准坐标拉格朗日公式,可以得出基于模型的控制器的运动方程。开发了两种基于模型和一种换位的雅可比控制算法,可以对操纵器和航天器进行协调跟踪控制。特别是,提出了一种基于欧拉参数模型的控制算法,该算法克服了由于姿态的欧拉角表示而引起的非物理奇异性。保证运转顺畅。为了减少紧握之前对航天器和物体的干扰,计划了航天器/操纵器运动的适当轨迹。通过仿真将基于模型的算法的性能与转置后的Jacobian算法的性能进行了比较。结果表明,由于空间机器人系统的复杂性,在存在模型不确定性的情况下,基于模型的算法的性能急剧下降。在这种情况下,简单的换位雅可比算法产生的结果可比,但计算负担却大大减少,这在空间上非常重要。

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