中国电力 ›› 2018, Vol. 51 ›› Issue (12): 118-123.DOI: 10.11930/j.issn.1004-9649.201806158

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基于模糊自适应内模控制的主蒸汽温度控制系统研究

郭瑞君1, 张国斌1, 纪煜2, 李旭1, 杜荣华1, 周磊1, 党少佳1   

  1. 1. 内蒙古电力科学研究院, 内蒙古 呼和浩特 010020;
    2. 包头第三热电厂, 内蒙古 包头 020010
  • 收稿日期:2018-07-04 修回日期:2018-08-07 出版日期:2018-12-05 发布日期:2018-12-13
  • 作者简介:郭瑞君(1973-),男,硕士,高级工程师,从事电站热工自动控制技术的研究,E-mail:zrui_75@sina.com

Study on the Main Steam Temperature Control System Based on Fuzzy Adaptive Internal Model Control

GUO Ruijun1, ZHANG Guobin1, JI Yu2, LI Xu1, DU Ronghua1, ZHOU Lei1, DANG Shaojia1   

  1. 1. Inner Mongolia Electric Power Science and Research Institute, Huhhot 010020, China;
    2. Baotou Third Cogeneration Power Plant, Baotou 020010, China
  • Received:2018-07-04 Revised:2018-08-07 Online:2018-12-05 Published:2018-12-13

摘要: 采用一阶时滞模型作为主蒸汽温度广义被控对象模型,设计基于模糊自适应内模控制的主蒸汽温度控制系统。在不同典型工况辨识得到不同对象模型参数,根据模型参数和模糊自适应规则自动整定控制器参数。对所设计的控制系统进行仿真和实际应用。结果表明,在外部扰动或模型不能准确匹配及不同工况运行时,此控制策略较传统串级PID控制和Smith预估控制具有更好的控制品质。

关键词: 火电厂, 热工控制系统, 内模控制, 模糊自适应控制, 主蒸汽温度

Abstract: In this paper, the first order lag model is used as the generalized object model of main steam temperature to design the fuzzy adaptive internal model control based main steam temperature control system. The parameters of the object model are identified under different operation conditions. According to the model parameters and fuzzy adaptive rules, the controller parameters are adjusted automatically. The designed system is simulated and applied in a power plant as well. The results show that, compared with the conventional cascade PID controller and the Smith prediction control, the system has a better control quality when the system operates under load disturbances or with model parameter deviations as well as under different operation conditions.

Key words: thermal power plant, thermal control system, internal model control, fuzzy adaptive control, main steam temperature

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