计算机工程与应用 ›› 2010, Vol. 46 ›› Issue (24): 222-224.DOI: 10.3778/j.issn.1002-8331.2010.24.065

• 工程与应用 • 上一篇    下一篇

燃料电池温度模糊自适应控制

李 果,张培昌,王 寒   

  1. 北京科技大学 信息工程学院,北京 100083

  • 收稿日期:2009-01-22 修回日期:2009-03-30 出版日期:2010-08-21 发布日期:2010-08-21
  • 通讯作者: 李 果

Temperature fuzzy self-tuning controller of fuel cell

LI Guo,ZHANG Pei-chang,WANG Han   

  1. School of Information Engineering,University of Science and Technology Beijing,Beijing 100083,China
  • Received:2009-01-22 Revised:2009-03-30 Online:2010-08-21 Published:2010-08-21
  • Contact: LI Guo

摘要: 如何控制燃料电池温度性能是燃料电池的一个重要问题。首先基于模糊辨识建模方法建立质子交换膜燃料电池温度性能的T-S模型。模型结构简单,精度高,方便地应用于质子交换膜燃料电池系统控制中。其次针对该模型设计电堆温度的模糊自适应控制器。最后在Matlab平台进行仿真,模糊自适应控制器在较大幅度变化的系统参数下都得到较好的控制性能,证明模糊自适应控制系统具有很好的鲁棒性和良好的控制品质,能够满足质子交换膜燃料电池温度控制系统的要求。

Abstract: How to control the temperature output performance of the fuel cell plays an important role in the problems of the fuel cell.Firstly,the T-S model of temperature performance of PEMFC is developed based on fuzzy identification modeling method.This model is fit for multi-variables,and it has simple construction and high accuracy.Secondly,the fuzzy self-
tuning controller is applied to the temperature control of PEMFC stack.Using Matlab in the simulation,fuzzy self-tuning controller achieves better performance in the large range variety of systemic parameters.It is proved that fuzzy self-tuning control system has very good robustness and controlling quality.It meets the demand of PEMFC stack temperature control system.

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