H∞ filter for flexure deformation and lever arm effect compensation in M/S INS integration

On ship, especially on large ship, the flexure deformation between Master (M)/Slave (S) Inertial Navigation System (INS) is a key factor which determines the accuracy of the integrated system of M/S INS. In engineering this flexure deformation will be increased with the added ship size. In the M/S I...

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Main Authors: Liu Xixiang, Xu Xiaosu, Wang Lihui, Li Yinyin, Liu Yiting
Format: Article
Language:English
Published: Elsevier 2014-09-01
Series:International Journal of Naval Architecture and Ocean Engineering
Subjects:
Online Access:http://www.degruyter.com/view/j/ijnaoe.2014.6.issue-3/ijnaoe-2013-0201/ijnaoe-2013-0201.xml?format=INT
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author Liu Xixiang
Xu Xiaosu
Wang Lihui
Li Yinyin
Liu Yiting
author_facet Liu Xixiang
Xu Xiaosu
Wang Lihui
Li Yinyin
Liu Yiting
author_sort Liu Xixiang
collection DOAJ
description On ship, especially on large ship, the flexure deformation between Master (M)/Slave (S) Inertial Navigation System (INS) is a key factor which determines the accuracy of the integrated system of M/S INS. In engineering this flexure deformation will be increased with the added ship size. In the M/S INS integrated system, the attitude error between MINS and SINS cannot really reflect the misalignment angle change of SINS due to the flexure deformation. At the same time, the flexure deformation will bring the change of the lever arm size, which further induces the uncertainty of lever arm velocity, resulting in the velocity matching error. To solve this problem, a H∞ algorithm is proposed, in which the attitude and velocity matching error caused by deformation is considered as measurement noise with limited energy, and measurement noise will be restrained by the robustness of H∞ filter. Based on the classical “attitude plus velocity” matching method, the progress of M/S INS information fusion is simulated and compared by using three kinds of schemes, which are known and unknown flexure deformation with standard Kalman filter, and unknown flexure deformation with H∞ filter, respectively. Simulation results indicate that H∞ filter can effectively improve the accuracy of information fusion when flexure deformation is unknown but non-ignorable
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spelling doaj.art-f3a149e9e1b14229accd332cb95590e72022-12-22T03:27:37ZengElsevierInternational Journal of Naval Architecture and Ocean Engineering2092-67822014-09-016362663710.2478/ijnaoe-2013-0201ijnaoe-2013-0201H∞ filter for flexure deformation and lever arm effect compensation in M/S INS integrationLiu Xixiang0Xu Xiaosu1Wang Lihui2Li Yinyin3Liu Yiting4Key Laboratory of Micro-inertial Instrument and Advanced Navigation Technology, Ministry of Education, Southeast University, Nanjing / School of Instrument Science Key Laboratory of Micro-inertial Instrument and Advanced Navigation Technology, Ministry of Education, Southeast University, Nanjing / School of Instrument Science Key Laboratory of Micro-inertial Instrument and Advanced Navigation Technology, Ministry of Education, Southeast University, Nanjing / School of Instrument Science Key Laboratory of Micro-inertial Instrument and Advanced Navigation Technology, Ministry of Education, Southeast University, Nanjing / School of Instrument Science Key Laboratory of Micro-inertial Instrument and Advanced Navigation Technology, Ministry of Education, Southeast University, Nanjing / School of Instrument Science On ship, especially on large ship, the flexure deformation between Master (M)/Slave (S) Inertial Navigation System (INS) is a key factor which determines the accuracy of the integrated system of M/S INS. In engineering this flexure deformation will be increased with the added ship size. In the M/S INS integrated system, the attitude error between MINS and SINS cannot really reflect the misalignment angle change of SINS due to the flexure deformation. At the same time, the flexure deformation will bring the change of the lever arm size, which further induces the uncertainty of lever arm velocity, resulting in the velocity matching error. To solve this problem, a H∞ algorithm is proposed, in which the attitude and velocity matching error caused by deformation is considered as measurement noise with limited energy, and measurement noise will be restrained by the robustness of H∞ filter. Based on the classical “attitude plus velocity” matching method, the progress of M/S INS information fusion is simulated and compared by using three kinds of schemes, which are known and unknown flexure deformation with standard Kalman filter, and unknown flexure deformation with H∞ filter, respectively. Simulation results indicate that H∞ filter can effectively improve the accuracy of information fusion when flexure deformation is unknown but non-ignorablehttp://www.degruyter.com/view/j/ijnaoe.2014.6.issue-3/ijnaoe-2013-0201/ijnaoe-2013-0201.xml?format=INTIntegrated system of M/S INSFlexure deformationLever arm effectKalman filterH∞ filter
spellingShingle Liu Xixiang
Xu Xiaosu
Wang Lihui
Li Yinyin
Liu Yiting
H∞ filter for flexure deformation and lever arm effect compensation in M/S INS integration
International Journal of Naval Architecture and Ocean Engineering
Integrated system of M/S INS
Flexure deformation
Lever arm effect
Kalman filter
H∞ filter
title H∞ filter for flexure deformation and lever arm effect compensation in M/S INS integration
title_full H∞ filter for flexure deformation and lever arm effect compensation in M/S INS integration
title_fullStr H∞ filter for flexure deformation and lever arm effect compensation in M/S INS integration
title_full_unstemmed H∞ filter for flexure deformation and lever arm effect compensation in M/S INS integration
title_short H∞ filter for flexure deformation and lever arm effect compensation in M/S INS integration
title_sort h∞ filter for flexure deformation and lever arm effect compensation in m s ins integration
topic Integrated system of M/S INS
Flexure deformation
Lever arm effect
Kalman filter
H∞ filter
url http://www.degruyter.com/view/j/ijnaoe.2014.6.issue-3/ijnaoe-2013-0201/ijnaoe-2013-0201.xml?format=INT
work_keys_str_mv AT liuxixiang hfilterforflexuredeformationandleverarmeffectcompensationinmsinsintegration
AT xuxiaosu hfilterforflexuredeformationandleverarmeffectcompensationinmsinsintegration
AT wanglihui hfilterforflexuredeformationandleverarmeffectcompensationinmsinsintegration
AT liyinyin hfilterforflexuredeformationandleverarmeffectcompensationinmsinsintegration
AT liuyiting hfilterforflexuredeformationandleverarmeffectcompensationinmsinsintegration