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Title: Anti-disturbance fault tolerant initial alignment for inertial navigation system subjected to multiple disturbances
Authors: Cao, Songyin
Guo, Lei
Chen, Wen-Hua
Keywords: Inertial navigation system
Fault tolerant
Filter
Initial alignment
Robustness
Multiple disturbances
Issue Date: 2017
Publisher: © Elsevier
Citation: CAO, S., GUO, L. and CHEN, W-H., 2017. Anti-disturbance fault tolerant initial alignment for inertial navigation system subjected to multiple disturbances. Aerospace Science and Technology, 72, pp. 95-103.
Abstract: Modeling error, stochastic error of inertial sensor, measurement noise and environmental disturbance affect the accuracy of an inertial navigation system (INS). In addition, some unpredictable factors, such as system fault, directly affect the reliability of INSs. This paper proposes a new anti-disturbance fault tolerant alignment approach for a class of INSs sub- jected to multiple disturbances and system faults. Based on modeling and error analysis, stochastic error of inertial sensor, measurement noise, modeling error and environmental disturbance are formulated into different types of disturbances described by a Markov stochastic process, Gaussian noise and a norm-bounded variable, respectively. In order to improve the accuracy and reliability of an INS, an anti-disturbance fault tolerant filter is designed. Then, a mixed dissipative/guarantee cost performance is applied to attenuate the norm-bounded disturbance and to optimize the estimation error. Slack variables and dissipativeness are introduced to reduce the conservatism of the proposed approach. Finally, compared with the unscented Kalman filter (UKF), simulation results for self-alignment of an INS are provided based on experimental data. It can be shown that the proposed method has an enhanced disturbance rejection and attenuation performance with high reliability.
Description: This paper is in closed access until 3rd Nov 2018.
Sponsor: This work is partially supported by the National Natural Science Foundation of China (Grant Nos. 61320106010 and 61473249).
Version: Accepted for publication
DOI: 10.1016/j.ast.2017.10.041
URI: https://dspace.lboro.ac.uk/2134/27526
Publisher Link: https://doi.org/10.1016/j.ast.2017.10.041
ISSN: 1270-9638
Appears in Collections:Closed Access (Aeronautical and Automotive Engineering)

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