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Fuzzy boundary layer tuning for sliding mode systems as applied to the control of a direct drive robot

机译:滑模系统的模糊边界层调整应用于直接驱动机器人的控制

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Chattering in the control signal is a significant problem in sliding mode control (SMC). The boundary layer approach is one of the many modifications proposed in the literature to avoid the chattering. In this approach, instead of the discontinuous SMC, a continuous feedback control law is employed in a boundary layer around the sliding surface. The thickness of the boundary layer is an important design parameter. This paper proposes a fuzzy online tuning method to adjust the boundary layer thickness for the best system performance without chattering. The method features the measurement of the chattering in the control signal. The paper validates the performance of the algorithm by experiments on a direct drive robot with a range of different payloads.
机译:在滑模控制(SMC)中,控制信号中的抖动是一个重大问题。边界层方法是文献中为避免抖动而提出的许多修改之一。在这种方法中,代替不连续的SMC,在滑动表面周围的边界层中采用了连续反馈控制律。边界层的厚度是重要的设计参数。本文提出了一种模糊的在线调整方法,以调整边界层的厚度以获得最佳的系统性能,而不会产生抖动。该方法的特征在于测量控制信号中的颤动。本文通过在具有一系列不同有效负载的直接驱动机器人上进行实验,验证了算法的性能。

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