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一种重力环境下的机械臂末端受力感知技术研究

Research on the force sensing technology of the manipulator in the gravity environment

中文摘要英文摘要

机械臂广泛应用在工业生产中。在加工、装配等对接触力有严格要求的任务中,一般需要在机械臂末端安装六维力传感器。针对传感器的感知误差,分析了误差来源,提出一种受力感知模型,综合考虑负载重力、传感器自重、传感器零点及受力系数等因素。提出一种模型参数标定方法。该方法利用陀螺仪弥补基座安装倾角等姿态误差,采集多组不同姿态下的数据,求得受力系数、传感器零点及负载重力等模型参数。最后,利用标定得到的参数进行重力补偿及负载参数标定,试验中六维力传感器感知外力的误差在负载重力的0.23%内,外力矩误差在负载重力矩的0.79%内,负载质量标定误差在0.089%以内,负载重心标定误差在1.245%以内。

In tasks such as the processing and assembly of industrial robotic arms that have strict requirements on contact force,Generally, a six-dimensional force sensor needs to be installed at the end of the robot arm.Aiming at the force sensing error of the sensor, the source of the error is analyzed, and a six-dimensional force sensor force sensing model is proposed, which takes into account factors such as the effect of load gravity, the weight of the sensor, the zero point of the sensor, and the force coefficient.A calibration method for model parameters is proposed. This method uses a gyroscope to compensate for attitude errors such as the inclination of the base and the joint errors of the robotic arm. It collects multiple sets of six-dimensional force sensor data in different attitudes, and uses the least square method to obtain the force coefficient, zero-point error of the six-dimensional force sensor, Parameters of load gravity and coordinates of load center of gravity.Finally, the calibration parameters were used to perform gravity compensation. Three experiments are designed to verify the effectiveness of the algorithm.In the experiment, the error of the sensor\'s sensing external force is within 0.23% of the load gravity, the error of the sensing external torque is within 0.79% of the load-to-sensor torque, the calibration error of the load mass is 0.089% of the actual load mass,and the calibration error of the load center of gravity is within 1.245% .

魏世民、唐玲、纪秋楠

机械学机械设计、机械制图自动化技术、自动化技术设备

自动化受力感知重力补偿六维力传感器

utomationForce sensingGravity compensationSix dimensional force sensor

魏世民,唐玲,纪秋楠.一种重力环境下的机械臂末端受力感知技术研究[EB/OL].(2020-04-22)[2025-08-02].http://www.paper.edu.cn/releasepaper/content/202004-222.点此复制

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