计算机工程与应用 ›› 2009, Vol. 45 ›› Issue (1): 228-229.DOI: 10.3778/j.issn.1002-8331.2009.01.069

• 工程与应用 • 上一篇    下一篇

纯碱碳化过程建模研究

朱燕飞,程良伦,曾 莹,许 亮   

  1. 广东工业大学 自动化学院,广州 510006
  • 收稿日期:2007-12-26 修回日期:2008-03-04 出版日期:2009-01-01 发布日期:2009-01-01
  • 通讯作者: 朱燕飞

Modeling research of soda carbonization process

ZHU Yan-fei,CHENG Liang-lun,ZENG Ying,XU Liang   

  1. Faculty of Automation,Guangdong University of Technology,Guangzhou 510006,China
  • Received:2007-12-26 Revised:2008-03-04 Online:2009-01-01 Published:2009-01-01
  • Contact: ZHU Yan-fei

摘要: 针对纯碱碳化过程复杂、建模难的特点,提出一种基于T-S模型的自适应神经模糊推理系统(ANFIS)建模方法。该方法提取碳化过程塔内温度分布及出碱流量的实测数据,通过ANFIS网络自组初始化模糊规则,自适应调整前提隶属度参数和结论参数,最终建立出碱流量随塔内温度变化的非线性模型。文章讨论了该网络的结构和学习算法,通过仿真研究得出其良好的实用价值。

Abstract: The paper introduces a kind of adaptive neural-fuzzy inference systems(ANFIS) based on T-S model to deal with the modeling problem of the complex soda carbonization process.With the measured temperature and soda-output flux data,the system self-initializes the fuzzy rules,and adjusts the membership parameters independently until to find the nonlinear flux-temperature model of the process.The paper discusses the system’s structure and its learning algorithm.Simulation results demonstrate the good practical application value of this approach.