A Neural Network-Based Steam Temperature Control System

First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008) Pub Date : 2008-01-23 DOI:10.1109/WKDD.2008.57

K. Hang

引用次数: 1

Abstract

In this paper the idea of unit control and neural network control are organically integrated and a new control strategy is presented to adopt in superheat steam temperature control. This control strategy has good anti-jamming capability and strong robust, makes the advantage of neural network better manipulate, and then design a control system with better reliability and stronger robust.

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基于神经网络的蒸汽温度控制系统

本文将单元控制思想与神经网络控制思想有机地结合起来，提出了一种用于过热蒸汽温度控制的新型控制策略。该控制策略具有良好的抗干扰能力和较强的鲁棒性，使神经网络的优势得到较好的操纵，从而设计出可靠性较好、鲁棒性较强的控制系统。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008)

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