70t LF炉电极系统智能控制器的设计与应用

Shifeng Zhang, Kun Li
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引用次数: 1

摘要

针对LF炉电极控制系统,提出了一种基于RBF神经网络的模糊自适应控制算法,实现了神经网络的实时识别和在线解耦,并基于WinAC控制软件设计了计算机控制系统。应用结果表明,该系统能很好地适应负载变化和外界干扰,并能有效克服电极的抖动,特别是具有良好的跟踪特性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and Application of the Electrode System Intelligent Controller for 70t LF Furnace
Towards electrode control system of LF furnace, a fuzzy adaptive control algorithm based on RBF NN is presented, which identifies real-time and decoupling by NN on-line, and designs a computer control system based on control software of WinAC. The results of application show that this system is able to adapt with load change and external interference very well, and could overcome the dithering of electrode effectively, especially have a good tacking characteristic.
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