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External Force Estimation in Linear Series Elastic Actuator Without Load-Side Encoder

机译:无负载侧编码器的线性系列弹性执行器中的外力估计

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This article presents a novel estimation method of the external force in linear series elastic actuators (SEAs). Conventionally, such force is estimated through the deflection of an elastic element, placed between motor and end-effector in SEAs (measured using two encoders). However, in some applications (e.g., wearable devices), it is difficult to mount a load-side encoder, due to cost or manufacturing issue. Moreover, methods based on encoders have limitations in terms of bandwidth, and, in turn, in estimating fast-varying impact forces. Additionally, SEAs may have a nonnegligible end-effector mass, therefore gravity (or accelerations of the actuator support) may add a contribution to the external force, not accounted by deflection-based estimation methods. To address these issues, we propose a method based on the Kalman filter in combination with the use of two MEMS accelerometers, mounted on the load-side and on the support of the SEA, for external force estimation and gravity (or support acceleration) compensation, respectively. We tested the proposed method even in a reduced version, with a single load-side accelerometer. Finally, it is shown that using the acceleration signal also improves the robustness against spring stiffness variations, compared to conventional methods. The experimental results show the effectiveness of the proposed methods.
机译:本文介绍了线性系列弹性执行器(SEA)中外力的新型估计方法。传统上,通过弹性元件的偏转估计这种力,其放置在海洋中的电动机和末端执行器之间(使用两个编码器测量)。然而,在某些应用中(例如,可穿戴设备),由于成本或制造问题,难以安装负载侧编码器。此外,基于编码器的方法在带宽方面具有局限性,并且又在估计快速变化的冲击力时。另外,海洋可以具有非不可缩牌的末端执行器质量,因此可以向外力增加对外力的重力(或致动器支撑件的加速度,而不是由基于偏转的估计方法的贡献。为了解决这些问题,我们提出了一种基于Kalman滤波器的方法,同时使用两个MEMS加速度计,安装在负载侧和海上的支撑上,用于外力估计和重力(或支持加速)补偿, 分别。我们即使在缩小版本中测试了所提出的方法,具有单个负载侧加速度计。最后,与传统方法相比,使用加速信号还可以提高弹簧刚度变化的鲁棒性。实验结果表明了该方法的有效性。

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