TY - JOUR
T1 - Development of an intelligent and hybrid scheme for rapid INS alignment
AU - Chiang, Kai Wei
AU - Huang, Yun Wen
AU - Niu, Xiaoji
PY - 2007/1/1
Y1 - 2007/1/1
N2 - Inertial navigation systems (INS) have been widely applied in many applications, such as precise positioning, navigation and guidance. Generally speaking, the initial attitude angles between the body and navigation frames are estimated during the INS alignment process using an optimal estimator such as the Kalman filter. Due to measurement errors, the Kalman filter takes about up to fifteen minutes to converge. In this article, a hybrid scheme integrating an Adaptive Neuro-Fuzzy Inference System with the Kalman filter is proposed to achieve a faster and more accurate alignment process. The preliminary results indicate that a faster alignment with superior accuracy can be achieved through the use of the proposed scheme.
AB - Inertial navigation systems (INS) have been widely applied in many applications, such as precise positioning, navigation and guidance. Generally speaking, the initial attitude angles between the body and navigation frames are estimated during the INS alignment process using an optimal estimator such as the Kalman filter. Due to measurement errors, the Kalman filter takes about up to fifteen minutes to converge. In this article, a hybrid scheme integrating an Adaptive Neuro-Fuzzy Inference System with the Kalman filter is proposed to achieve a faster and more accurate alignment process. The preliminary results indicate that a faster alignment with superior accuracy can be achieved through the use of the proposed scheme.
UR - http://www.scopus.com/inward/record.url?scp=34547358167&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34547358167&partnerID=8YFLogxK
U2 - 10.1080/02533839.2007.9671302
DO - 10.1080/02533839.2007.9671302
M3 - Article
AN - SCOPUS:34547358167
VL - 30
SP - 759
EP - 763
JO - Chung-kuo Kung Ch'eng Hsueh K'an/Journal of the Chinese Institute of Engineers
JF - Chung-kuo Kung Ch'eng Hsueh K'an/Journal of the Chinese Institute of Engineers
SN - 0253-3839
IS - 4
ER -