使用积分滑模控制器对具有干扰的三自由度机器人机械手进行鲁棒跟踪控制

IF 2.1 Q3 ROBOTICS
Irfan Ali, Mohsan Hassan, Zarqa Bano, Zhang Chunwei
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引用次数: 0

摘要

机器人系统经常面临高度非线性的机械手动态和不确定性,如外部干扰、有效载荷变化和末端效应器建模误差。因此,以可靠的方式计算和模拟这些机械手的动态响应具有重要的工业意义。本研究探讨了一种鲁棒控制策略--积分滑模控制(ISMC)--应用于具有外部干扰的三自由度机器人机械手。研究包括两个阶段。第一阶段,在无外部干扰的情况下,使用动态计算权重值的比例-衍生(PD)控制。在第二阶段,采用 ISMC 来处理对干扰的动态响应。模型的计算工作在 Mathematica 软件中实现,并对三关节 SCARA 型机器人进行了测试,以证明方法的鲁棒性。最后,通过 Lypunove 函数分析和滑动面的相位肖像确保了稳定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Robust tracking control of a three-degree-of-freedom robot manipulator with disturbances using an integral sliding mode controller

Robust tracking control of a three-degree-of-freedom robot manipulator with disturbances using an integral sliding mode controller

Robot systems often face highly nonlinear manipulator dynamics and uncertainties such as external disturbances, payload variations, and end effector modeling errors. Therefore, it is of great industrial importance to compute and simulate the dynamic response of these manipulators in a reliable manner. This research investigates a robust control strategy—Integral Sliding Mode Control (ISMC)—applied to a three-degree-of-freedom robot manipulator with external disturbances. The study consists of two stages. The first stage uses Proportional-Derivative (PD) control with dynamically calculated weight values in the absence of the external disturbances. In the second stage, ISMC is employed to address dynamic responses to disturbances. The computation work on the model is implemented in Mathematica software, and a three-joint SCARA-type robot is tested to demonstrate methodology robustness. In the end, stability is ensured through Lypunove function analysis and the sliding surface's phase portrait.

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来源期刊
CiteScore
3.80
自引率
5.90%
发文量
50
期刊介绍: The International Journal of Intelligent Robotics and Applications (IJIRA) fosters the dissemination of new discoveries and novel technologies that advance developments in robotics and their broad applications. This journal provides a publication and communication platform for all robotics topics, from the theoretical fundamentals and technological advances to various applications including manufacturing, space vehicles, biomedical systems and automobiles, data-storage devices, healthcare systems, home appliances, and intelligent highways. IJIRA welcomes contributions from researchers, professionals and industrial practitioners. It publishes original, high-quality and previously unpublished research papers, brief reports, and critical reviews. Specific areas of interest include, but are not limited to:Advanced actuators and sensorsCollective and social robots Computing, communication and controlDesign, modeling and prototypingHuman and robot interactionMachine learning and intelligenceMobile robots and intelligent autonomous systemsMulti-sensor fusion and perceptionPlanning, navigation and localizationRobot intelligence, learning and linguisticsRobotic vision, recognition and reconstructionBio-mechatronics and roboticsCloud and Swarm roboticsCognitive and neuro roboticsExploration and security roboticsHealthcare, medical and assistive roboticsRobotics for intelligent manufacturingService, social and entertainment roboticsSpace and underwater robotsNovel and emerging applications
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