一种KUKA工业机器人抗扰动控制方法设计
投稿时间:2024-04-02  修订日期:2024-06-12  点此下载全文
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柳静* 河南应用技术职业学院 450042
基金项目:1.河南应用技术职业学院青年骨干教师资助项目,项目编号:2023-GGJS-X001; 2.2021年度河南省重点研发与推广专项科技攻关项目(212102210430); 3.2022年河南省职业教育和继续教育课程思政示范课程《Java程序设计基础》 (项目号:【2022】195)
中文摘要:KUKA工业机器人在执行任务时,复杂的任务决策会受到多种扰动因素的影响,为了抵抗这种干扰,把平移和旋转两种状态合并为一种,导致关节坐标在两种不同状态下需要容忍一定的集中干扰误差,这种误差会使其运行轨迹和机械臂摆角与预先设定的路线产生较大偏差,进而影响控制精度。因此,提出一种KUKA工业机器人抗扰动控制方法。在得到KUKA工业机器人位姿矩阵后,对其展开运动学分析,明确平移和旋转两种状态下的机器人关节坐标。基于运动学分析的结果,构建KUKA工业机器人抗扰动控制模型。模型由微分控制器、自适应鲁棒滑模控制器、线性扩张状态观测器组成,完成对集中干扰的补偿和控制后,在有限时间内将速度误差收敛至0。经过实验测试后得出结论:所提方法控制KUKA工业机器人位移轨迹非常接近期望轨迹,有效抵抗扰动因素对机器人的影响,使其横摆角和转向角控制在合理范围内,不会使机器人产生角度突变。
中文关键词:KUKA工业机器人  抗扰动控制技术  线性扩张状态观测器  级联控制结构
 
Design of a disturbance resistant control method for KUKA industrial robots
Abstract:When KUKA industrial robots perform tasks, complex task decisions are affected by various disturbance factors. In order to resist this interference, the translation and rotation states are merged into one, resulting in joint coordinates needing to tolerate a certain degree of concentrated interference error in the two different states. This error will cause significant deviation between its operating trajectory and the predetermined path of the robotic arm swing angle, thereby affecting control accuracy. Therefore, a KUKA industrial robot disturbance resistant control method is proposed. After obtaining the KUKA industrial robot pose matrix, perform kinematic analysis on it and clarify the robot joint coordinates in both translation and rotation states. Based on the results of kinematic analysis, construct a disturbance resistant control model for KUKA industrial robots. The model consists of a differential controller, an adaptive robust sliding mode controller, and a linear extended state observer. After compensating and controlling for concentrated disturbances, the speed error converges to 0 within a finite time. After experimental testing, it was concluded that the proposed method controls the displacement trajectory of KUKA industrial robot very close to the expected trajectory, effectively resisting the influence of disturbance factors on the robot, and controlling its lateral and steering angles within a reasonable range, without causing sudden angle changes in the robot.
keywords:Big data analysis  KUKA industrial robot  Anti disturbance control technology  Linear Extended State Observer  Cascade control structure
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