基于运动学的Lynxmotion机械臂滑模控制

Ismail Ben Abdallah, Y. Bouteraa, C. Rekik
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引用次数: 20

摘要

近年来,机械手机器人的技术发展非常迅速,对人类的生活产生了积极的影响。机械手机器人技术的实现为多种人工作业提供了更高的效率和高性能。实际上,在此背景下发表的成果主要集中在实现已经预先编程的期望轨迹的控制算法,被动机器人情况或基于反馈传感器的轨迹生成主动机器人情况。然而,基于手势的机器人控制可以被认为是系统控制的另一种途径,但目前尚未得到广泛的讨论。本文重点研究了一个基于kinect的实时交互控制系统的实现。基于LabVIEW集成开发环境IDE,开发了人机界面HMI,使用户能够实时控制Lynxmotion机械臂。Kinect软件开发工具包SDK提供了一种跟踪人体骨骼并将其抽象为三维坐标的工具。因此,我们将Kinect传感器集成到我们的控制系统中,以检测不同的用户关节坐标。Lynxmotion动态已在实时滑模控制算法中实现。通过实验结果验证了系统的有效性,验证了系统的跟踪能力、稳定性和鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Kinect-Based Sliding Mode Control for Lynxmotion Robotic Arm
Recently, the technological development of manipulator robot increases very quickly and provides a positive impact to human life. The implementation of the manipulator robot technology offers more efficiency and high performance for several human’s tasks. In reality, efforts published in this context are focused on implementing control algorithms with already preprogrammed desired trajectories passive robots case or trajectory generation based on feedback sensors active robots case. However, gesture based control robot can be considered as another channel of system control which is not widely discussed. This paper focuses on a Kinect-based real-time interactive control system implementation. Based on LabVIEW integrated development environment IDE, a developed human-machine-interface HMI allows user to control in real time a Lynxmotion robotic arm. The Kinect software development kit SDK provides a tool to keep track of human body skeleton and abstract it into 3-dimensional coordinates. Therefore, the Kinect sensor is integrated into our control system to detect the different user joints coordinates. The Lynxmotion dynamic has been implemented in a real-time sliding mode control algorithm. The experimental results are carried out to test the effectiveness of the system, and the results verify the tracking ability, stability, and robustness.
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