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基于相平面轨迹特征的规则自调整模糊控制方法
引用本文:张吉礼,欧进萍,于达仁. 基于相平面轨迹特征的规则自调整模糊控制方法[J]. 控制理论与应用, 2003, 20(4): 607-611
作者姓名:张吉礼  欧进萍  于达仁
作者单位:1. 哈尔滨工业大学,市政环境工程学院,黑龙江,哈尔滨,150090
2. 哈尔滨工业大学,土木工程学院,黑龙江,哈尔滨,150090
3. 哈尔滨工业大学能源科学与工程学院,黑龙江,哈尔滨,150001
基金项目:国家自然科学青年基金(59908001); 中国博士后科学基金(LRZ99004); 哈尔滨工业大学跨学科交叉性研究基金(HITMD200030).
摘    要:通过对模糊控制系统相平面响应轨迹特性的分析, 提出了相平面响应轨迹实时特征向量和实时特征向量夹角的概念; 在分析实时特征向量夹角特性的基础上, 提出基于相平面响应轨迹特征的规则自调整模糊控制方法; 仿真结果表明, 该方法可以减小模糊控制系统的超调和过渡过程, 提高系统的收敛速度.

关 键 词:相平面   响应轨迹   实时特征向量   实时特征向量夹角   规则自调整
文章编号:1000-8152(2003)04-0607-05
收稿时间:2001-10-08
修稿时间:2001-10-08

Method of rule self-tuning fuzzy control based on trajectory performance of phase plane
ZHANG Ji-li,OU Jin-ping and YU Da-ren. Method of rule self-tuning fuzzy control based on trajectory performance of phase plane[J]. Control Theory & Applications, 2003, 20(4): 607-611
Authors:ZHANG Ji-li  OU Jin-ping  YU Da-ren
Affiliation:School of Municipal & Environmental Engineering, Harbin Institute of Technology, Heilongjiang Harbin 150090, China;School of Civil Engineering & Architecture, Harbin Institute of Technology, Heilongjiang Harbin 150090, China;School of Energy Science & Engineering, Harbin Institute of Technology, Heilongjiang Harbin 150001, China
Abstract:The phase plane has already been an important method to design the fuzzy control system and analyze its stability. The concepts of the responding trajectory real-time characteristic vectors and the angles between the real-time characteristic vectors on the phase plane were put forward by analyzing the responding trajectory performance on the phase plane of the fuzzy control system. The method of rule self-tuning fuzzy control based on the responding trajectory performance on the phase plane was presented and the characteristics of the angles between the real-time characteristic vectors were discussed. The simulation results show that the method is capable of increasing the ability to identify and describe the controlled system in small error, reducing the overshoot, rising time greatly and improving the convergence speed of the fuzzy control system, possessed of a simply arithmetic and does not require much storage space and calculating time, and easy to perform.
Keywords:phase plane   responding trajectory   real-time characteristic vector   angle between the real-time characteristic vectors   rule self-tuning
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