首页|机器人重力与摩擦力的精确辨识研究

机器人重力与摩擦力的精确辨识研究

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提出了一种基于电流估计的机器人重力及摩擦力辨识方法,具有辨识简单、快捷、精确的优点.建立了关于机器人重力项参数的线性回归模型,并基于QR分解的数值方法提取出可被辨识的重力项参数;设计了具有周期性的对称拼接的抛物线过渡的线性插值激励轨迹,并利用最小二乘法估计重力项参数.基于库伦-粘滞模型和Stribeck模型对机器人各关节进行了摩擦力建模及辨识,提升了摩擦模型的拟合精度.实验表明,机器人以低速运行时,基于辨识参数计算的理论力矩能够较好地拟合机器人实际驱动力矩,两者之间的平均绝对误差和均方根误差在2 N·m以内,验证了辨识结果的准确性.
Research on Accurate Identification of Robot Gravity and Friction Forces
This paper presents a robot gravity and friction force identification method based on current esti-mation torque,which has the advantages of simple,fast,and accurate identification.A linear regression model on the robot's gravity term parameters is established,and the identifiable gravity term parameters are extracted based on the numerical method of QR decomposition.A linear interpolation excitation trajectory with periodic symmetric splicing parabolic transitions is designed,and the gravity term parameters are esti-mated using the least squares method.The friction forces of each joint of the robot are modeled and identi-fied based on the Coulomb-viscous model and Stribeck model,which improves the fitting accuracy of the fric-tion model.Experimental results show that when the robot operates at low speed,the theoretical torques calcu-lated based on the identified parameters can fit the actual driving torques of the robot well,with an average absolute error and root mean square error within 2 N·m,verifying the accuracy of the identification results.

robotgravity identificationfriction force identificationtrajectory planning

李志鹏、李成刚、丁士杰、李鹏飞、杨刚

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南京航空航天大学机电学院,南京 210016

机器人 重力辨识 摩擦力辨识 轨迹规划

南京航空航天大学科研与实践创新项目航空科学基金项目

xcxjh20220507201916052001

2024

组合机床与自动化加工技术
大连组合机床研究所 中国机械工程学会生产工程分会

组合机床与自动化加工技术

CSTPCD北大核心
影响因子:0.671
ISSN:1001-2265
年,卷(期):2024.(8)