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机器人关节刚度辨识方法研究

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刚度作为工业机器人领域研究中的关键对象,对机器人在机械加工领域的应用有着重要影响,因此对其刚度进行精确辨识有深远意义.针对以往刚度辨识试验中存在的不足及未考虑到的问题,提出了一种较以往试验更为标准化且精确的试验方法,全面考虑刚度辨识试验中多个影响因素,利用MATLAB软件优化试验设置与机器人位姿,在建立系统运动学DH参数模型及传统静刚度模型的基础上,完成对机器人刚度的识别计算.试验结果显示出优化后的方法有效提高了求解的刚度矩阵其准确性.
Research on Identification Method of Robot Joint Stiffness
As a key object in the field of industrial robot research,stiffness has an important impact on the application of robots in the field of machining,so it is of far-reaching significance to accurately identify its stiffness.In view of the deficiencies and un-considered problems in the previous stiffness identification tests,a more standardized and accurate test method than previous tests is proposed.The multiple influencing factors in the stiffness identification test are fully considered and robot poses are optimized by MATLAB software.Based on the establishment of the robot kinematics DH model and the traditional static stiffness model,the precise identification of the robot stiffness is realized.The test results show that the optimized test method effectively improves the accuracy of the stiffness matrix.

Industrial RobotStiffness IdentificationConstrained OptimizationCartesian Stiffness Matrix

兰孝健、国凯、孙杰

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山东大学机械工程学院,山东 济南 250061

工业机器人 刚度辨识 有约束优化 笛卡尔刚度矩阵

国家自然科学基金山东省重点研发计划项目山东省重大科技创新工程项目

519753352019GGX1040082019JZZY020318

2023

机械设计与制造
辽宁省机械研究院

机械设计与制造

CSTPCD北大核心
影响因子:0.511
ISSN:1001-3997
年,卷(期):2023.394(12)
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