Development of an intelligent and hybrid scheme for rapid INS alignment

Kai Wei Chiang, Yun Wen Huang, Xiaoji Niu

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)759-763
Number of pages5
JournalJournal of the Chinese Institute of Engineers, Transactions of the Chinese Institute of Engineers,Series A/Chung-kuo Kung Ch'eng Hsuch K'an
Volume30
Issue number4
DOIs
Publication statusPublished - 2007 Jan 1

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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