An Improved Combined Framework of Force Measurement With Friction Model for Harmonic Gear

作者：Jing Luo, Dakun Peng, Changcheng Liu, Biwei Tang, Muye Pang, Kui Xiang · 发表于：IEEE Sensors Journal · 年份：2023 · DOI：10.1109/jsen.2023.3262196 · 被引用次数：10 · 研究领域：Gear and Bearing Dynamics Analysis、Hydraulic and Pneumatic Systems、Iterative Learning Control Systems

To obtain accurate output torque of robot joint for torque control, a built-in torque sensor is designed in this article. To enhance the performance of harmonic gear (HG), it is urgent to deal with the key issues in terms of the errors of sensing and positioning, and torque ripple interference. To handle these aforementioned key issues, four pairs of symmetrically distributed strain gauges are pasted on the bottom of the flexspline. Then, a precise positioning method based on laser marking is proposed to improve the positioning accuracy of the strain gauges. Moreover, Kalman filter (KF) is utilized to reduce torque ripple interference in the output signal of the strain gauges. Additionally, the designed device is evaluated by experimental tests which are conducted on prototype trial production. Synchronously, the relationship between the flexspline torque and the joint output torque is verified and the polynomial is used to represent the relationship of the measured torque for the built-in torque sensor and the standard torque sensor in the static and dynamic conditions. Finally, a friction model is presented and identified. Comprehensive comparative experiments is performed the performance of the build-in torque sensor in terms of estimation accuracy and control and it shows that the designed built-in torque sensor with friction compensation (FC) can be improved ten times in comparison with that of without FC in terms of steady-state mean error and mean value of measurement ...