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基于小波分析的模糊控制算法应用
引用本文:董永英,马彩文,董森.基于小波分析的模糊控制算法应用[J].光电工程,2006,33(7):18-22.
作者姓名:董永英  马彩文  董森
作者单位:1. 中国科学院西安光学精密机械研究所,陕西,西安710068;中国科学院研究生院,北京,100039
2. 中国科学院西安光学精密机械研究所,陕西,西安710068
摘    要:针对空间跟踪系统的特点及对伺服控制的技术要求,采用基于小波分析的模糊控制器,将小波基函数作为隶属函数,可根据误差在线调整隶属函数的形状,使模糊控制具有更优、更强的自适应能力。仿真与实验结果表明这种控制器比常规的PID控制器具有更好的动态性能和抗干扰能力,能很好的用于跟踪系统的控制。

关 键 词:小波分析  隶属函数  模糊控制  目标跟踪系统
文章编号:1003-501X(2006)07-0018-05
收稿时间:2005-08-25
修稿时间:2006-05-25

Application of fuzzy control algorithmic based on wavelet analyses
DONG Yong-ying,MA Cai-wen,DONG Sen.Application of fuzzy control algorithmic based on wavelet analyses[J].Opto-Electronic Engineering,2006,33(7):18-22.
Authors:DONG Yong-ying  MA Cai-wen  DONG Sen
Abstract:To satisfy the particularity of space circumstance and the rigid performance specifications, a fuzzy controller based on wavelet analyses is presented for servo control of space tracking system. The algorithm, which combines qualitative information expression of fuzzy control and outstanding part control performance of wavelet basis function, uses wavelet basis function as membership function whose shape can be adjusted on line by error so that the fuzzy control can maintain a better adaptivity. Experiment results show that the controller has better dynamic and anti-jamming performance than conventional PID (Proportion, Integral, and Differential) controllers. It can be applied to tracking control system.
Keywords:Wavelet analysis  Membership function  Fuzzy control  Target tracking system
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