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Simulation and Implementation of Real-Time Vision-Based Control System for 2-DoF Robotic Arm Using PID with Hardware-in-the-Loop

机译:基于PID的硬件在环的2自由度机械臂实时视觉控制系统的仿真与实现

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Microsoft Kinect sensor has shown the research community that it's more than just an interactive gaming device, due to its multi-functional abilities and high reliability. In this work, online HIL (Hardware-in-the-Loop) experimental data are used to apply human motion imitation to a 2-degree of freedom Lego Mind storm NXT robotic arm. A model simulation of the dc motor used in this experiment is also present in this paper. The acquired input data from the Kinect sensor are processed in a closed loop PID controller with feedback from motors encoders. The applied algorithms solve the overlapping input problem, conducting a simultaneous control of both shoulder and elbow joints, and solving the overlapping input problem as well. The work in this paper is presented as a prototype to assure the applicability of the algorithms, for further development.
机译:Microsoft Kinect传感器向研究社区表明,由于其多功能功能和高可靠性,它不仅仅是交互式游戏设备。在这项工作中,在线HIL(硬件在环)实验数据用于将人体运动模仿应用于2自由度Lego Mind风暴NXT机械臂。本文还提供了该实验中使用的直流电动机的模型仿真。从Kinect传感器获取的输入数据在闭环PID控制器中进行处理,并获得电机编码器的反馈。应用的算法解决了重叠输入问题,同时控制了肩关节和肘关节,也解决了重叠输入问题。本文的工作作为原型展示,以确保算法的适用性,以供进一步开发。

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