Identification of FOG Multivariable Model Based on Fuzzy Relation

被引：0
|
作者：
Zhao Xijing [1 ]
Wang Lixin [1 ]
He Zhikun [1 ]
Li Rui [1 ]
机构：
[1] Xian Res Inst High Tech, Xian 710025, Shaanxi, Peoples R China
来源：
INTELLIGENCE COMPUTATION AND EVOLUTIONARY COMPUTATION | 2013年 / 180卷
关键词：
FOG; Fuzzy Relation; Nonlinearity Analysis; Multivariable Model; Model Identification; Temperature Compensation; DESIGN;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In view of the complicated nonlinear characteristic of fiber optic gyroscope (FOG) temperature drift, a new fuzzy approach is proposed to build the input-output model. Based on fuzzy logic theory, fuzzy regulation is formed according to the input and output information of FOG. Then the model of FOG is identified by corresponding fuzzy inference. The simulation result shows that the model presented is effective and the FOG temperature drift is reduced greatly. The identification method may provide a new approach to the temperature drift compensation of FOG on line.
引用
收藏
页码：381 / 387
页数：7
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