...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Computers >Research and Application on Two-stage Fuzzy Neural Network Temperature Control System for Industrial Heating Furnace
【24h】

Research and Application on Two-stage Fuzzy Neural Network Temperature Control System for Industrial Heating Furnace

机译：工业加热炉两阶段模糊神经网络温度控制系统的研究与应用

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

—Industrial heating furnace has a great deal of special characteristics such as big capacity, long lag and non-linear trait, etc. In order to control it better, we present a sort of fuzzy neural network temperature control model. It can transform the rulers of fuzzy logic control to a pair of input-output samples of multilayer forward neural network.The knowledge is not expressed by a serial of rules but distributed into the whole network. Based on this model, we have designed a two-stage fuzzy neural network temperature control system for industrial heating furnace. The first-stage controller is responsible for determining the control variable according to deviation information of controlled variable. The second-stage controller takes charges of adjusting the control variable coming from the first-stage controller through other process parameters. The system takes full account of the impact of many process parameters on controlled variable. It uses two-stage fuzzy neural network controller to decentralize process of control parameters, which makes it easy to extract fuzzy rules, greatly reduces the number of fuzzy rules and produces reasonable control outputs. Engineering applications show that the system has a lot of advantages such as high accuracy, strong robustness, etc. Its quality is superior to conventional control and it is suitable for long lag, nonlinear system in particular.
机译：- 工业加热炉具有大量特性，如大容量，长滞后和非线性特质等。为了更好地控制它，我们呈现了一种模糊神经网络温度控制模型。它可以将模糊逻辑控件的统治者转换为多层前进神经网络的一对输入输出样本。知识不通过序列规则表示，但分布到整个网络。基于该模型，我们设计了一种用于工业加热炉的两级模糊神经网络温度控制系统。第一阶段控制器负责根据受控变量的偏差信息确定控制变量。第二阶段控制器通过其他工艺参数调整从第一阶段控制器调整的控制变量。系统完全考虑到许多进程参数对受控变量的影响。它使用两阶段模糊神经网络控制器分散控制参数的过程，这使得提取模糊规则很容易，大大减少了模糊规则的数量并产生合理的控制输出。工程应用表明，该系统具有很多优点，如高精度，强大的鲁棒性等。其质量优于传统的控制，特别适用于长滞后，特别是长滞后。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号