东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2009, Vol. 30 ›› Issue (2): 274-278.DOI: -

• 论著 • 上一篇    下一篇

模糊PID复合控制算法改进及应用

李丽娜;柳洪义;罗忠;孙一兰;   

  1. 东北大学机械工程与自动化学院;
  • 收稿日期:2013-06-22 修回日期:2013-06-22 出版日期:2009-02-15 发布日期:2013-06-22
  • 通讯作者: Li, L.-N.
  • 作者简介:-
  • 基金资助:
    国家自然科学基金资助项目(50535010)

Study on improved fuzzy-PID composite control arithmetics and its applications

Li, Li-Na (1); Liu, Hong-Yi (1); Luo, Zhong (1); Sun, Yi-Lan (1)   

  1. (1) School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110004, China
  • Received:2013-06-22 Revised:2013-06-22 Online:2009-02-15 Published:2013-06-22
  • Contact: Li, L.-N.
  • About author:-
  • Supported by:
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摘要： 针对常规模糊PID复合控制算法的不足,在分析了其控制特性后,提出了相应的改进算法.采用基于梯形隶属函数的模糊切换算法以及基于变论域和仿人智能思想的量化因子和比例因子的在线自调整算法实现了自适应模糊PID复合控制,并将此改进算法用于PCR芯片智能温度控制系统中,使控制系统获得了良好的动态特性和稳态性能、较强的鲁棒性及适应性.实验结果表明,其控制品质远优于常规模糊PID控制和基本模糊控制.

关键词: 模糊PID复合控制, 模糊切换, 变论域, 仿人智能, 量化因子, 比例因子, 在线自调整, 聚合酶链反应

Abstract: An improved method is presented to get rid of disadvantages of conventional fuzzy-PID composite control after analyzing its control characteristics. The self-adaptive fuzzy-PID composite control is implemented via the fuzzy switching arithmetic based on trapezoidal membership function and the online self-tuning arithmetic with quantized and proportional factors based on variable universe and human simulating intelligence. With this improved method an intelligent temperature control system for PCR chip is performed to show its highly dynamic and stable traits, strong robustness and adaptability. Test results revealed that the improved controller is much better than conventional fuzzy-PID controller and simple fuzzy controller.

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