RAPID AND ACCURATE INS ALIGNMENT FOR LAND APPLICATIONS

被引:7
作者
Chiang, Kai-Wei [1 ]
Huang, Yun-Wen [1 ]
Niu, Xiaoji [2 ]
机构
[1] Natl Cheng Kung Univ, Dept Geomat, Tainan 70101, Taiwan
[2] Univ Calgary, Dept Geomat Engn, Mobile Multisensor Res Grp, Calgary, AB T2N 1N4, Canada
关键词
Inertial navigation systems; Alignment; Kalman filter; Adaptive neuro-fuzzy inference system; FUZZY-LOGIC; SYSTEMS;
D O I
10.1179/003962610X12747001420348
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
INS has been widely used in applications such as aerospace guidance and land vehicle navigation. Position, velocity and attitude are navigation parameters which need to be determined on a moving platform by processing the measurements of inertial sensors including specific forces and angular rates. Generally speaking, the initial attitude angles between the body and navigation frames play an important role, because they could affect the accuracy of the navigation solutions. Therefore, those angles have to be estimated accurately prior to switching the INS into navigation mode using a technique known as INS alignment. In the fine alignment, an optimal estimator such as the Kalman filter is used to perform the alignment process. Due to measurement errors, the Kalman filter takes about 10 to 15 minutes to converge. Those errors increase the alignment time and deteriorate the overall accuracy of the initial attitude angles estimated. In this article, a hybrid alignment scheme which integrates an ANFIS with the Kalman filter is proposed to obtain a better accuracy of the initial attitude angles with the emphasis on the heading angle. This method reduces the time required to achieve reasonable results for fine alignment. A tactical grade inertial measurement unit is used to verify the performance of the proposed scheme in this study. The preliminary results presented in this article indicate that a faster alignment procedure with higher accuracy can be achieved through the use of proposed scheme.
引用
收藏
页码:279 / 291
页数:13
相关论文
共 24 条
[1]  
ABDELHAMID W, 2005, 20207 UCGE DEP GEOM
[2]  
[Anonymous], 2001, INERTIAL NAVIGATION
[3]  
[Anonymous], 1997, IEEE T AUTOM CONTROL, DOI DOI 10.1109/TAC.1997.633847
[4]   CONTROL THEORETIC APPROACH TO INERTIAL NAVIGATION SYSTEMS [J].
BARITZHACK, IY ;
BERMAN, N .
JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, 1988, 11 (03) :237-245
[5]   Neuro-fuzzy approaches for sanitary sewer pipeline condition assessment [J].
Chae, MJ ;
Abraham, DM .
JOURNAL OF COMPUTING IN CIVIL ENGINEERING, 2001, 15 (01) :4-14
[6]  
CHIANG KW, 2004, 20209 UCGE DEP GEOM
[7]   Wavelet de-noising for IMU alignment [J].
El-Sheimy, N ;
Nassar, S ;
Noureldin, A .
IEEE AEROSPACE AND ELECTRONIC SYSTEMS MAGAZINE, 2004, 19 (10) :32-39
[8]  
El-Sheimy N., 2002, ENGO 699 71 LECT NOT
[9]  
GALLO S, 1999, P EUR S INT TECHN EU
[10]  
Gelb A., 1989, Applied Optimal Estimation