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Target Capture for Free-Floating Space Robot Based on Binocular Stereo Vision

机译:基于双目立体视觉的自由漂浮空间机器人目标捕获

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As the dynamics of free-floating space robots are highly nonlinear, strongly coupled and nonholonomic constrained, the control methods for the terrestrial robot are not suitable for the free-floating space robot. At present, the control methods for the free-floating space robot are based on accurate dynamic model and need parameters identification. In this study, the dynamic model of the free-floating space robot is established and the binocular stereo vision feedback method to overcome the nonholonomic constrained characteristics that caused by the linear and angular momentum conservation theory is proposed. Then the free-floating space robot motion control method based on acceleration decomposition method is designed. Finally, the software of the free-floating space robot target capturing based on binocular stereo vision is developed and simulated. The simulation results show that the free-floating space robot based on binocular stereo vision can track a moving target in real time and ultimately can complete the target capture mission. The proposed control method provides a new effective method for the free-floating space robot capturing the target and avoiding the complex process of parameters identification for the space robot and also can effectively prevent the manipulator of the space robot in collsion with the target.
机译:由于自由浮动空间机器人的动力学是高度非线性,强耦合且不受完整的约束,因此地面机器人的控制方法不适用于自由浮动空间机器人。目前,自由漂浮空间机器人的控制方法基于精确的动力学模型,需要参数辨识。本研究建立了自由浮动空间机器人的动力学模型,并提出了克服线性和角动量守恒理论引起的非完整约束特性的双目立体视觉反馈方法。然后设计了基于加速度分解法的自由漂浮空间机器人运动控制方法。最后,开发并仿真了基于双目立体视觉的自由漂浮空间机器人目标捕获软件。仿真结果表明,基于双目立体视觉的自由漂浮空间机器人可以实时跟踪运动目标,最终可以完成目标捕获任务。所提出的控制方法为自由浮动空间机器人捕获目标提供了一种新的有效方法,避免了空间机器人参数识别的复杂过程,还可以有效地防止空间机器人操纵器与目标发生碰撞。

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