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Stability Analysis of Transfer Alignment Filter Based on the μ Theory

by Lihua Zhu1, Yu Wang1, Lei Wang2, Zhiqiang Wu1

School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China.
School of Computing and Information Technology, University of Wollongong, Northfields Ave, Wollongong NSW 2522, Australia.

* Corresponding Author: Wu Zhiqiang. Email: email.

Computers, Materials & Continua 2019, 59(3), 1015-1026. https://doi.org/10.32604/cmc.2019.05656

Abstract

The performance of the transfer alignment has great impact on inertial navigation systems. As the transfer alignment is generally implemented using a filter to compensate the errors, its accuracy, rapidity and anti-disturbance capability are key properties to evaluate the filtering process. In terms of the superiority in dealing with the noise, H∞ filtering has been used to improve the anti-disturbance capability of the transfer alignment. However, there is still a need to incorporate system uncertainty due to various dynamic conditions. Based on the structural value theory, a robustness stability analysis method has been proposed for the transfer alignment to evaluate the impact of uncertainty on the navigation system. The mathematical derivation has been elaborated in this paper, and the simulation has been carried out to verify the effectiveness of the algorithm.

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APA Style
Zhu, L., Wang, Y., Wang, L., Wu, Z. (2019). Stability analysis of transfer alignment filter based on the μ theory. Computers, Materials & Continua, 59(3), 1015-1026. https://doi.org/10.32604/cmc.2019.05656
Vancouver Style
Zhu L, Wang Y, Wang L, Wu Z. Stability analysis of transfer alignment filter based on the μ theory. Comput Mater Contin. 2019;59(3):1015-1026 https://doi.org/10.32604/cmc.2019.05656
IEEE Style
L. Zhu, Y. Wang, L. Wang, and Z. Wu, “Stability Analysis of Transfer Alignment Filter Based on the μ Theory,” Comput. Mater. Contin., vol. 59, no. 3, pp. 1015-1026, 2019. https://doi.org/10.32604/cmc.2019.05656

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cc Copyright © 2019 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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