基于元动作分解的工业机器人定位精度可靠性分析

Reliability Analysis on Positioning Accuracy of Industrial Robots Based on Meta-action Decomposition

  • 摘要: 针对国产工业机器人定位精度误差传递机制表征不够充分、小样本工况下可靠性评估难以实现的问题,文章提出基于元动作分解的工业机器人定位精度可靠性分析方法。以 HSR-JR605六自由度串联机器人为研究对象,首先采用“功能-运动-元动作”分解方法,将整机分解为6个单自由度元动作单元并利用DH运动学模型建立各元动作单元的静、动态位移误差模型;其次,基于多体运动学与误差雅可比矩阵构建从元动作到末端执行器的误差传递模型;继而,引入区间凸集模型与体积比法,完成定位精度可靠度数值计算。最后,通过Matlab Robotics Toolbox 开展仿真验证。结果表明:正运动学模型准确,末端位姿计算与仿真一致;误差传递模型计算值与仿真输出偏差≤0.001 mm;凸集模型可靠度与蒙特卡洛仿真结果偏差≤3%。该方法可清晰地表征误差传递规律及定位精度可靠度计算,为工业机器人精度设计与可靠性仿真提供理论与方法支撑。

     

    Abstract: To address the insufficient characterization of the positioning accuracy error transfer mechanism and the difficulty in implementing reliability evaluation under small-sample working conditions for domestic industrial robots, a reliability analysis method for industrial robot positioning accuracy based on meta-action decomposition is proposed in this paper. Taking the HSR-JR605 6-degree-of-freedom serial robot as the research object, the whole machine is first decomposed into six single-degree-of-freedom meta-action units via the "Function-Movement-Meta-Action" decomposition method, and static and dynamic displacement error models of each meta-action unit are established using the DH kinematic model. Secondly, an error transfer model from meta-actions to the end effector is constructed based on multi-body kinematics and the error Jacobian matrix. Subsequently, the interval convex set model and volume ratio method are introduced, and numerical calculation of positioning accuracy reliability is completed. Finally, simulation verification is carried out through the MATLAB Robotics Toolbox. The results reveal that the forward kinematic model is validated to be accurate, and consistent end-effector pose values are obtained from theoretical calculation and simulation. The deviation between the calculated values of the error transfer model and the simulation outputs is limited to ≤0.001 mm, and the deviation between the reliability obtained by the convex set model and the Monte Carlo simulation results is controlled within 3%. The error transfer laws can be clearly characterized and the reliability of positioning accuracy can be quantified by the proposed method, and theoretical and methodological supports are provided for the accuracy design and reliability simulation of industrial robots.

     

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