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Research on control algorithm for weaving non-equal diameter tubular fabric with constant weft density

机译:恒定纬密度编织非等直径筒形织物的控制算法研究

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A control algorithm of diameter changing and constant weft density for tubular fabric was first presented in this paper, in which the RBF (Radial Basis Function, RBF) neural network was used to approximate the shape function of tubular fabric. And on the basis of this, the chart of how the rotation angle of diameter changing cam to change over the time was worked out, and the relationship between absolute pulling speed and time was established too, which is under the condition of keeping the weft density constant. This control algorithm not only can realize online diameter changing, but also can maintain the weft density constant. In addition, it has the characteristics of high precision, fast computing speed and simple code.
机译:本文首先提出了一种筒形织物的直径变化和恒定纬纱密度的控制算法,其中使用RBF(径向基函数,RBF)神经网络来近似于筒形织物的形状函数。并且在此基础上,编制出变径凸轮的转角随时间变化的图表,并建立了在保持纬纱密度的条件下绝对牵拉速度与时间的关系。持续的。该控制算法不仅可以实现在线变径,而且可以保持纬纱密度恒定。另外,它具有精度高,计算速度快,代码简单的特点。

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