同步带伺服系统的神经滑模控制

Y. Yildiz, A. Sabanoviç
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引用次数: 12

摘要

本文描述了神经网络滑模控制在柔性传动单元直线传动控制中的应用。具有柔性传动元件的线性驱动器比具有刚性传动装置(如动力螺杆系统)的线性驱动器更便宜,效率更高。因此,这些设备在行业中发挥着重要作用。采用神经滑模控制器级联离散滑模控制器对系统进行控制。外环采用神经滑模控制器,为内环中作为力控制器的离散滑模控制器提供参考。神经控制器的控制信号是通过最小化由李雅普诺夫稳定性分析得到的误差函数得到的。在不同的加载条件和不同的摩擦力矩下,对控制器的性能进行了测试,并给出了测试结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Neuro sliding mode control of timing belt servo-system
In this paper, the employment of neural networks with sliding mode control in the control of a linear drive with flexible transmission element is described. Linear drives with flexible transmission elements are cheaper and also more efficient than the ones with rigid transmissions like power screw systems. Hence, these devices play an important role in the industry. A neuro-sliding mode controller cascaded with a discrete sliding mode controller is used to control the system. Neuro-sliding mode controller is used in the outer loop and produces reference for the discrete sliding mode controller which serves as a force controller, in the inner loop. The control signal of the neuro-controller is obtained by minimizing an error function which is derived from Lyapunov stability analysis. The controller performance is tested with different loading conditions and different friction torques and the results are presented.
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