Application of H∞ Filter on the Angular Rate Matching in the Transfer Alignment
The transfer alignment (TA) scheme is used for the initial alignment of Inertial Navigation System (INS) on dynamical base. The Kalman filter is often used in TA to improve the precision of TA. And the statistical characteristics of interference signal which is difficult to get must be known before...
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2016/4859475 |
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| author | Lijun Song Zhongxing Duan Jiwu Sun |
| author_facet | Lijun Song Zhongxing Duan Jiwu Sun |
| author_sort | Lijun Song |
| collection | DOAJ |
| description | The transfer alignment (TA) scheme is used for the initial alignment of Inertial Navigation System (INS) on dynamical base. The Kalman filter is often used in TA to improve the precision of TA. And the statistical characteristics of interference signal which is difficult to get must be known before the Kalman filter is used in the TA, because the interference signal is a random signal and there are some changes on the dynamic model of system. In this paper, the H∞ filter is adopted in the TA scheme of the angular rate matching when the various stages of disturbance in measurement are unknown. And it is compared with the Kalman filter in the same environment of simulation and evaluation. The result of simulation shows that the H∞ filter and the Kalman filter are both effective. The Kalman filter is more accurate than the H∞ filter when system noise and measurement noise are white noise, but the H∞ filter is more accurate and quicker than the Kalman filter when system noise and measurement noise are color noise. In the engineering practice, system noise and measurement noise are always color noise, so the H∞ filter is more suitable for engineering practice than the Kalman filter. |
| format | Article |
| id | doaj-art-58383c44454c4af8929a8dfde61559e3 |
| institution | Kabale University |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-58383c44454c4af8929a8dfde61559e32025-02-03T06:15:12ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2016-01-01201610.1155/2016/48594754859475Application of H∞ Filter on the Angular Rate Matching in the Transfer AlignmentLijun Song0Zhongxing Duan1Jiwu Sun2Electronic Information and Control Engineering College, Xi’an University of Architecture and Technology, Xi’an 710055, ChinaElectronic Information and Control Engineering College, Xi’an University of Architecture and Technology, Xi’an 710055, ChinaElectronic Information and Control Engineering College, Xi’an University of Architecture and Technology, Xi’an 710055, ChinaThe transfer alignment (TA) scheme is used for the initial alignment of Inertial Navigation System (INS) on dynamical base. The Kalman filter is often used in TA to improve the precision of TA. And the statistical characteristics of interference signal which is difficult to get must be known before the Kalman filter is used in the TA, because the interference signal is a random signal and there are some changes on the dynamic model of system. In this paper, the H∞ filter is adopted in the TA scheme of the angular rate matching when the various stages of disturbance in measurement are unknown. And it is compared with the Kalman filter in the same environment of simulation and evaluation. The result of simulation shows that the H∞ filter and the Kalman filter are both effective. The Kalman filter is more accurate than the H∞ filter when system noise and measurement noise are white noise, but the H∞ filter is more accurate and quicker than the Kalman filter when system noise and measurement noise are color noise. In the engineering practice, system noise and measurement noise are always color noise, so the H∞ filter is more suitable for engineering practice than the Kalman filter.http://dx.doi.org/10.1155/2016/4859475 |
| spellingShingle | Lijun Song Zhongxing Duan Jiwu Sun Application of H∞ Filter on the Angular Rate Matching in the Transfer Alignment Discrete Dynamics in Nature and Society |
| title | Application of H∞ Filter on the Angular Rate Matching in the Transfer Alignment |
| title_full | Application of H∞ Filter on the Angular Rate Matching in the Transfer Alignment |
| title_fullStr | Application of H∞ Filter on the Angular Rate Matching in the Transfer Alignment |
| title_full_unstemmed | Application of H∞ Filter on the Angular Rate Matching in the Transfer Alignment |
| title_short | Application of H∞ Filter on the Angular Rate Matching in the Transfer Alignment |
| title_sort | application of h∞ filter on the angular rate matching in the transfer alignment |
| url | http://dx.doi.org/10.1155/2016/4859475 |
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