| 带预测的模糊-PI算法在惯导温控系统中的应用 |
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| 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. |
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| 作者姓名： | 郭振西 缪玲娟 沈军 吴阳 张宇河 |
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| 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 |
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| 基金项目： | 总装备部科研项目;4040504011; |
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| 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。
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| 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： | 2002/5/21 0:00:00 |
| 修稿时间： | 2002年5月21日 |
Fuzzy-PI Method with Predictive Model for the Temperature Control of Inertial Navigation System |
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| 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. |
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| Authors: | GUO Zhen-xi MIAO Ling-juan SHEN Jun WU Yang and ZHANG Yu-he |
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| Institution: | 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 |
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| 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. |
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| Keywords: | temperature control inertial navigation system fuzzy control |
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