NDLI: A Fast and Optimal Method Based on Fuzzy Neural Networks for SINS Initial Alignment

Content Provider	IEEE Xplore Digital Library
Author	Xu Bo Sun Feng Yu Fei Liu Fuqiang
Copyright Year	2008
Description	Author affiliation: Harbin Eng. Univ., Harbin (Xu Bo; Sun Feng; Yu Fei; Liu Fuqiang)
Abstract	The paper presents an approach which applies LQ optimal control in Strap-down Inertial Navigation System (SINS) initial alignment. The detailed analysis process about this method has been shown, and anti-jamming designs were done for the approximate step-wise disturbance which appeared in the system, to gain the optimal control parameter, the fuzzy neural network is used in the method. Simulations are performed to validate the scheme for initial alignment, obtained the same precision to other alignment method. And the most splendid was that the using of the LQ optimal control reduces the alignment time consumedly much more quickly than other traditional method. What is discovered in the simulation is while the initial error angles were smaller than 10 degrees; error angle will converge to quite good precision in several seconds.
Starting Page	601
Ending Page	606
File Size	552874
Page Count	6
File Format	PDF
ISBN	9780769530901
DOI	10.1109/WKDD.2008.121
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-01-23
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Silicon compounds Fuzzy control Automation Optimal control Inertial navigation Fuzzy neural networks Educational institutions Data engineering Data mining Sun
Content Type	Text
Resource Type	Article

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