华电技术 ›› 2010, Vol. 32 ›› Issue (1): 35-38.

• 研究与开发 • 上一篇    下一篇

主汽温模糊控制器的设计

段爱霞1 ,黄永志2 ,刘子玉3   

  1. 1.华北水利水电学院 电力学院,河南郑州 450011;2.河南电力试验研究院,河南郑州 450052;3.郑州市热力总公司,河南郑州 450052
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2010-01-25 发布日期:2010-01-25

Design of fuzzy controller of main steam temperature

DUAN Aixia1, HUANG Yongzhi2, LIU Ziyu3   

  1. 1.Department of Power Engineering, North China Institute of Water Conservancy and Hydroelectric Power, Zhengzhou 450011, China; 2.Henan Electric Power Test and Research Institute, Zhengzhou 450052, China; 3.Zhengzhou Heating Power Corporation, Zhengzhou 450052, China
  • Received:1900-01-01 Revised:1900-01-01 Online:2010-01-25 Published:2010-01-25

摘要: 电厂主汽温控制对象有大惯性、长迟延、时变性的特点。为了提高火电机组的经济性和安全性,通常对主汽温控制系统提出较高的性能指标,但使用传统PID串级控制方法并不能取得更好的性能。为了改善主汽温PID控制器调节品质,运用模糊规则设计了一种新的模糊整定方法,介绍了基于MCS89C52单片机的相应硬件电路结构与软件设计。仿真结果表明,该模式在变工况时,通过在线修正控制器参数使控制系统性能指标几乎不变,对工程应用有实际意义。

关键词: 主汽温, 控制系统, 单片机, 模糊控制, 大惯性

Abstract: The main steam temperature controlled object has large inertia, long time lag and timevariation in thermal power plant. In order to enhance the economy and safety of thermal power plant, it is usually required that the main steam temperature control system should have higher performance indexes. However, better performance can not be achieved with traditional control methods which use the normal PID cascade control. In order to improve the regulation quality of the PID controller of main steam temperature, a new fuzzy setting method by using the fuzzy rules of mainsteam temperature system was designed, and the relevant structure of the hardware and software design based on MCS89C52 singlechip computer were introduced in this paper. The simulation results show that this model can online modify its controller parameters to maintain the performance indexes of control system approximately invariable when working conditions change. It has practicable significance for engineering application.

Key words: main steam temperature, control system, single-chip computer, fuzzy control, large inertia