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Power assisting method for almost-periodic motions based on motion prediction

机译:基于运动预测的准周期运动动力辅助方法

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摘要

In this paper, we consider a synthesis procedure of power assisting systems for almost-periodic motions. In our previous study, we showed that the energy efficiency can be improved when a flat torque pattern is realized by removing the input pulsation. In this study, we apply a motion prediction technique based on the Time-Varying Seasonal AR model to the design problem of power assisting systems. The effectiveness of the proposed method is demonstrated through numerical simulations.
机译:在本文中,我们考虑了动力驱动系统针对几乎周期性运动的综合过程。在我们以前的研究中,我们表明,通过消除输入脉动来实现平坦的转矩模式,可以提高能量效率。在这项研究中,我们将基于时变季节性AR模型的运动预测技术应用于动力辅助系统的设计问题。通过数值仿真证明了该方法的有效性。

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