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A two-staged residual for resilient external torque estimation with series elastic actuators

机译:两级残差,用于使用串联弹性执行器估算外部弹性扭矩

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Collaborative robots driven by Series Elastic Actuators (SEA) exploit physical compliance, which enables joint torque sensing to accurately estimate external contact torques based on residual momenta. The deflection measurement precision for the compliant element determines the torque accuracy. It is affected by support clearances, assembly tolerances, stiffness calibration errors as well as unmodelled non-linearity. Moreover, the stiffness value amplifies deflection errors leading to larger torque estimation errors, which limits the benefits of integrated joint torque sensing for enhanced external torque estimation with higher stiffness SEAs. Accordingly, this paper newly proposes a two-staged approach of the residual based external torque estimation for SEA driven robots. The proposed method augments the residual calculation by the motor-side dynamics, uses both, motor and link side angular measurements, but entirely waives the need to model the spring dynamics for the external torque estimation. Consequently, this improves accuracy and sensitivity in wide-ranging stiffness applications. The performance of the two-staged residual is verified by experiments with the SEA of the WALK-MAN humanoid robot.
机译:由系列弹性执行器(SEA)驱动的协作机器人利用物理顺应性,这使关节扭矩感测可以基于残余力矩精确估算外部接触扭矩。柔性元件的挠度测量精度决定了扭矩精度。它受支撑间隙,装配公差,刚度校准误差以及未建模的非线性影响。此外,刚度值会放大挠度误差,从而导致更大的扭矩估计误差,这限制了集成关节扭矩感测的优势,从而可以通过更高的刚度SEA增强外部扭矩估计。因此,本文新提出了一种针对SEA驱动的机器人的基于残差的外部转矩估计的两阶段方法。所提出的方法通过电动机侧动力学增加了残差计算,同时使用了电动机和连杆侧角测量,但完全无需为外部扭矩估算建模弹簧动力学。因此,这提高了在各种刚度应用中的准确性和灵敏度。通过使用WALK-MAN人形机器人的SEA进行实验,验证了两阶段残差的性能。

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