东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2007, Vol. 28 ›› Issue (12): 1701-1704.DOI: -

• 论著 • 上一篇    下一篇

模糊自适应控制算法在水轮机调速器建模中的应用

赵海;宋纯贺;韩叙东;朱鹏;   

  1. 东北大学信息科学与工程学院;东北大学信息科学与工程学院;东北大学信息科学与工程学院;东北大学信息科学与工程学院 辽宁沈阳110004;辽宁沈阳110004;辽宁沈阳110004;辽宁沈阳110004
  • 收稿日期:2013-06-24 修回日期:2013-06-24 出版日期:2007-12-15 发布日期:2013-06-24
  • 通讯作者: Zhao, H.
  • 作者简介:-
  • 基金资助:
    国家自然科学基金资助项目(69873007)

Application of self-tuning-fuzzy PID algorithm in hydraulic turbine governor

Zhao, Hai (1); Song, Chun-He (1); Han, Xu-Dong (1); Zhu, Peng (1)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110004, China
  • Received:2013-06-24 Revised:2013-06-24 Online:2007-12-15 Published:2013-06-24
  • Contact: Zhao, H.
  • About author:-
  • Supported by:
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摘要： 在模糊控制器的设计中,模糊规则的提取,比例、量化因子和隶属度函数的确定都具有一定主观性;针对这种情况,提出改进的模糊自适应PID控制算法(IFPID),利用微粒群算法对经过预处理的隶属度函数进行优化.在水轮机调速器仿真实验中,与简单PID控制算法和一般模糊控制算法相比,基于改进模糊自适应PID算法的系统在响应频率扰动和负荷扰动时有着更短的调节时间和更小的超调量.

关键词: 水轮机调速器, PID, 模糊控制器, 微粒群算法, 自适应控制

Abstract: Fuzzy PID algorithm has been widely applied to industrial process control, extraction of fuzzy rules, proportion, quantizing factors and membership function are all determined subjectively to certain extent in fuzzy controller design. An improved fuzzy adaptive PID algorithm (IFPID) is thus proposed, using PSO algorithm to optimize the preprocessed membership function. Comparing the simple PID algorithm with the conventional fuzzy PID algorithm, in a simulation test of turbine governor, the proposed algorithm shows shorter regulating time and smaller overshoots when the system is disturbed by response frequency and load fluctuation.

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