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带预测的模糊-PI算法在惯导温控系统中的应用
引用本文:郭振西,缪玲娟,沈军,吴阳,张宇河. 带预测的模糊-PI算法在惯导温控系统中的应用[J]. 北京理工大学学报, 2003, 23(1): 66-70
作者姓名:郭振西  缪玲娟  沈军  吴阳  张宇河
作者单位:北京理工大学,信息科学技术学院自动控制系,北京,100081
基金项目:总装备部科研项目;4040504011;
摘    要:研究一种带误差预测的模糊-PI控制算法,并将该控制算法应用在惯导系统温控回路中,采用了带自调整因子的模糊控制规则加快系统响应时间,并加入了稳态PI控制提高系统精度,利用Smith预估器的思想,预测过程的误差和误差变化,解决了过程纯滞后对控制性能的影响,计算机仿真表明,系统具有反应快,超调小和稳态性能好的特点,能够达到惯导温控系统的要求。

关 键 词:模糊-PI算法 温度控制 惯性导航系统 模糊控制 误差预测 Smith预估器
文章编号:1001-0645(2003)01-0066-05
收稿时间:2002-05-21
修稿时间:2002-05-21

Fuzzy-PI Method with Predictive Model for the Temperature Control of Inertial Navigation System
GUO Zhen-xi,MIAO Ling-juan,SHEN Jun,WU Yang and ZHANG Yu-he. Fuzzy-PI Method with Predictive Model for the Temperature Control of Inertial Navigation System[J]. Journal of Beijing Institute of Technology(Natural Science Edition), 2003, 23(1): 66-70
Authors:GUO Zhen-xi  MIAO Ling-juan  SHEN Jun  WU Yang  ZHANG Yu-he
Affiliation:Department of Automatic Control, School of Information Science and Technology, Beijing Institute of Technology, Beijing100081, China;Department of Automatic Control, School of Information Science and Technology, Beijing Institute of Technology, Beijing100081, China;Department of Automatic Control, School of Information Science and Technology, Beijing Institute of Technology, Beijing100081, China;Department of Automatic Control, School of Information Science and Technology, Beijing Institute of Technology, Beijing100081, China;Department of Automatic Control, School of Information Science and Technology, Beijing Institute of Technology, Beijing100081, China
Abstract:A fuzzy-PI controller is designed to control the temperature of inertial navigation system(INS). In order to shorten the system response time and improve the system precision, the fuzzy-PI control ruler is adopted. According to the Smith predictor, the paper makes use of a method that takes the predictive process error and error change as fuzzy-PI algorithm's input. The method is effective to systems with long dead time. Test results of computer simulation indicated that the fuzzy-PI control of INS temperature was very effective.
Keywords:temperature control  inertial navigation system  fuzzy control
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