An In-Flight Emergency Alignment Scheme for Aircraft MINS with Assistant of Airborne SAR

Article Preview

Abstract:

The alignment of a strapdown inertial navagation system (SDINS) is the process whereby the orientation of body frame is determined with respect to the navigation frame [. In a broad sense, alignment of SDINS can be classified as initial alignment and in-flight alignment (IFA). The IFA is performed with IMU and external sensors during the vehicle flight [2,, in which the primary assistant sources are satellite system, radar, or other airborne equipment, offering reference signals like position, velocity, or attitude to assist the alignment process [4,. However, these sources have disadvantages in redundancy, independence, and stability, which will be incipient faults in emergency take-off or warfare. So it is necessary for us to analyse the subsidiary airborne equipments and design new in-flight alignment scheme.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

339-346

Citation:

Online since:

August 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Kwangjin Kim, Chan Gook Park. In-flight alignment algorithm based on non-symmetric unscented transformation,. SICE-ICASE international joint conference 2006, October, 2006, pp.4916-4920.

DOI: 10.1109/sice.2006.314848

Google Scholar

[2] Costa J A, Patwari N, Hero A O. Distributed weighted-multidimensional scaling for node localization in sensor networks,. ACM Transactions on Sensor Networks, 2006, 2(1), pp.39-64.

DOI: 10.1145/1138127.1138129

Google Scholar

[3] Jamshaid Ali, Muhammad Ushaq. A consistent and robust Kalman filter design for in-motion alignment of inertial navigation system,. Measurement. October, (2008).

DOI: 10.1016/j.measurement.2008.10.002

Google Scholar

[4] WANG Wu, YANG Fu-Wen. Robust filtering for networked uncertain systems with random time delays,. Acta automatica sinica, 2007, 33(5), pp.557-560.

Google Scholar

[5] L Q Zhang, X B Zhou, Q Cheng. Landscape-3D: A robust localization scheme for sensor networks over complex 3D terrains,. In Proc. 31st IEEE conference, 2006, pp.239-246.

DOI: 10.1109/lcn.2006.322106

Google Scholar

[6] LIU Jian-ye, XIONG Zhi, DUAN Fang. Processing the measurement delay INS/SAR integrated navigation in-coordinate interval filtering algorithm study[J]. Journal of Astronautics, 2004. 11: 626-631.

Google Scholar

[7] Chao Gao, Guorong Zhao, Shuang Pan etal. Distributed multi-weight data-gathering and aggregation protocol in fleet wireless sensor networks: optimal and heuristic algorithms[J]. International Journal of Intelligent Engineering and Systems, Volume 2, Issue 4, 2009: 1-8.

DOI: 10.22266/ijies2009.1231.01

Google Scholar

[8] Chao Gao, Jianhua Lu, Guorong Zhao, et al. A Localization and In-flight Alignment Protocol for Airborne SINS Based on Flight-vehicle Wireless Sensor Networks[J]. International Journal of Intelligent Engineering and Systems, Volume 3, Issue 2, 2010: 26-32.

DOI: 10.22266/ijies2010.0630.04

Google Scholar

[9] Xiong Zhi, Liu Jianye, Zeng Qinghua etal. Vision match aid navigation system match algorithm research [J]. Chinese graph and image transaction. 2004. 01.

Google Scholar

[10] [Leng Xuefei, Liu Jianye, Xiong Zhi. Navigation real time image match algorithm based on branch features[J]. Automatica. 2007. 07: 678-682.

Google Scholar

[11] Yujing Liu, Huadong Meng, Desheng Wang et al. Adaptive staggering time estimation for target tracking in periodic nonuniform sampling system[J]. Electronic s letters.

DOI: 10.1049/el:20071011

Google Scholar