Schuller Robert, Reinecke Jens, Maurenbrecher Henry, Ott Christian, Albu-Schaeffer Alin, Deutschmann Bastian, Buettner Fred, Heim Jens, Benkert Frank, Glueck Stefan
Institute of Robotics and Mechatronics, German Aerospace Center (DLR), Wessling, Germany.
Automation and Control Institute, Faculty of Electrical Engineering and Information Technology, Wien, Austria.
Front Robot AI. 2024 Aug 9;11:1416360. doi: 10.3389/frobt.2024.1416360. eCollection 2024.
The idea of sensorizing a strain wave gear to measure the transmitted torque has been reported since the 1980s. The strain in the elastic flex spline is typically measured by strain gages attached to it. The resulting voltages relate to the transmitted torque in the gear. However, periodic inaccuracies in the measured torque signal (sensing ripple), resulting from positioning inaccuracies of strain gages on the flex spline, prevented this technology from being used outside a lab environment. Regardless of these difficulties, measuring the torque directly in the strain wave gear would bring many advantages, especially in robotic applications, where design space is highly limited. Traditionally, robotic joints are equipped with link-sided torque sensors, which reduce the available design volume, lower the joint stiffness, and require complex cable routing. This paper presents an experimental study of a novel sensorized strain wave gear named RT1-T, which was developed by Schaeffler Technologies. The study was implemented on a joint testbed, including a high-resolution reference torque sensor at the link side. In addition to the measurement accuracy and linearity, a torque ripple analysis is performed. The joint torque control capabilities are determined along dynamic trajectories and compared to the performance achieved with a link-sided reference sensor. The sensor employed in the testbed has a static torque error of 0.42 Nm and an average closed-loop torque control error of 0.65 Nm above the reference sensor.
自20世纪80年代以来,就有关于对谐波齿轮进行传感以测量传递扭矩的想法的报道。弹性柔轮中的应变通常通过附着在其上的应变片来测量。由此产生的电压与齿轮中传递的扭矩相关。然而,由于应变片在柔轮上的定位不准确,导致测量扭矩信号中存在周期性误差(传感纹波),这使得该技术无法在实验室环境之外使用。尽管存在这些困难,但直接在谐波齿轮中测量扭矩将带来许多优势,特别是在设计空间高度受限的机器人应用中。传统上,机器人关节配备有连杆侧扭矩传感器,这会减少可用设计体积、降低关节刚度并需要复杂的电缆布线。本文介绍了对舍弗勒技术公司开发的一种名为RT1-T的新型传感谐波齿轮的实验研究。该研究在一个关节试验台上进行,试验台在连杆侧包括一个高分辨率参考扭矩传感器。除了测量精度和线性度外,还进行了扭矩纹波分析。沿着动态轨迹确定关节扭矩控制能力,并与使用连杆侧参考传感器所实现的性能进行比较。试验台中使用的传感器静态扭矩误差为0.42 Nm,在参考传感器之上的平均闭环扭矩控制误差为0.65 Nm。