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首页> 外文期刊>Revue roumaine des sciences techniques >ARTIFICIAL NEURAL NETWORK SLIDING MODE CONTROL FOR MULTI-MACHINE WEB WINDING SYSTEM
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ARTIFICIAL NEURAL NETWORK SLIDING MODE CONTROL FOR MULTI-MACHINE WEB WINDING SYSTEM

机译:多机织网系统的人工神经网络滑模控制

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摘要

In this work we have presented a study of multi input multi output control structures of multi-motor system using artificial neural network sliding mode control (ANN-SMC). The model of a multi-motor consists of three induction machine which are mechanically coupled. The combination of neural networks with sliding mode control (SMC) methodology is used to eliminate chattering phenomenon and to improve the error performance of SMC. In the approach, two parallel neural networks (NNs) are utilized to realize an ANN-SMC. As demonstrated from simulations, it appears that a comparatively good performance can be reached by the proposed artificial neural network sliding mode controller.
机译:在这项工作中,我们提出了使用人工神经网络滑模控制(ANN-SMC)的多电机系统多输入多输出控制结构的研究。多电机模型由机械耦合的三个感应电机组成。将神经网络与滑模控制(SMC)方法相结合,可消除抖动现象并提高SMC的错误性能。在该方法中,利用两个并行神经网络(NN)来实现ANN-SMC。从仿真中可以看出,所提出的人工神经网络滑模控制器可以达到比较好的性能。

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