北京航空航天大学学报 ›› 2007, Vol. 33 ›› Issue (08): 915-919.

• 论文 • 上一篇    下一篇

闭环最优模糊推理方法及其应用

张 磊, 张 晶, 申功璋   

  1. 北京航空航天大学 自动化科学与电气工程学院, 北京 100083
  • 收稿日期:2006-10-10 出版日期:2007-08-31 发布日期:2010-09-17
  • 作者简介:张 磊(1977-),男,天津人,博士后,zhanglei@buaa.edu.cn.
  • 基金资助:

    高等学校博士学科点专项科研基金资助项目(20060006010)

Closed-loop optimal fuzzy reasoning and its application

Zhang Lei, Zhang Jing, Shen Gongzhang   

  1. School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China
  • Received:2006-10-10 Online:2007-08-31 Published:2010-09-17

摘要: 最优模糊推理的基本思想在于模糊推理引入优化机制.首先针对现有的一种最优模糊推理方法,证明其满足模糊推理的2个基本性质,即推理一致性和所构成模糊系统的通用逼近性;其次提出闭环最优模糊推理的基本思想,即模糊推理引入反馈和优化机制,并在此基础上提出一种闭环最优模糊推理方法;然后针对这种新方法,同理证明其满足上述2个基本性质;最后通过飞机高度控制系统的仿真平台,体现出由闭环最优模糊推理方法所构成的模糊PID控制器的控制效果和强鲁棒性.

Abstract: The basic idea of optimal fuzzy reasoning is introducing optimization mechanism into fuzzy reasoning, while traditional fuzzy reasoning is an open-loop and optimization process. Firstly two main characteristics of fuzzy reasoning methods, reasoning consistency and approximation, were discussed for an existing optimal fuzzy reasoning method. Secondly the basic idea of closed-loop optimal fuzzy reasoning was provided, that is, introducing feedback and optimization mechanism into fuzzy reasoning, and a new method based on the idea was given. Thirdly the above characteristics for the new method was discussed. Proofs display that the two fuzzy reasoning methods both satisfy reasoning consistency and approximation. Based on the platform of a flight control system, simulation results display that the fuzzy-PID controller based on the closed-loop optimal fuzzy reasoning method has better control performance and more robustness. And the idea of closed-loop optimal fuzzy reasoning builds a full framework for treating fuzzy reasoning as a control problem.

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