首页> 外文期刊>International Journal of Advanced Robotic Systems >Adaptive coordinated motion control with variable forgetting factor for a dual-arm space robot in post-capture of a noncooperative target
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Adaptive coordinated motion control with variable forgetting factor for a dual-arm space robot in post-capture of a noncooperative target

机译:自适应协调的运动控制,具有在非捕获目标后双臂空间机器人的变量忘记因子

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To overcome the problem of dynamics coupling between a space robot and a target satellite, this study introduces a new coordinated motion control approach with an adaptive filtering algorithm for a dual-arm free-floating space robot. Based on the reaction null space control scheme, one arm is used to complete the capture task and the other to counteract disturbance to the space base. However, when space robot captures a noncooperative target, the system may experience abrupt changes in dynamic parameters and output measurement noise, which can cause traditional control methods to achieve poor results in practical applications. Thus, an adaptive filtering algorithm with a variable forgetting factor is proposed to improve the tracking capabilities and robustness of the system. The convergence analysis is performed based on a Lyapunov function. The simulation results demonstrate the effectiveness of the proposed algorithm.
机译:为了克服空间机器人与目标卫星之间的动力学耦合问题,本研究介绍了一种新的协调运动控制方法,具有用于双臂自由浮动空间机器人的自适应滤波算法。基于反应空空间控制方案,一只臂用于完成捕获任务,另一个臂抵消对空间基础的干扰。然而,当空间机器人捕获非合作目标时,系统可能会经历动态参数和输出测量噪声的突然变化,这可能导致传统的控制方法在实际应用中实现较差的结果。因此,提出了一种具有变量遗忘因子的自适应滤波算法来提高系统的跟踪能力和鲁棒性。基于Lyapunov函数执行收敛分析。仿真结果证明了所提出的算法的有效性。

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