Technical Papers
Sep 8, 2015

Robust Inertial-Astronomic Attitude Determination Algorithm with Adaptive Star Geometrical Error Model for HCVs

Publication: Journal of Aerospace Engineering
Volume 29, Issue 2

Abstract

Inertial/astronomic integration is an effective way to improve the accuracy of attitude determination of hypersonic cruise vehicles (HCVs). Compared with common low-dynamic aircraft, the environmental affection during hypersonic flight leads to the non-Gaussian noise character of astronomic observation. Meanwhile, rapid star geometry changing during HCVs’ rapid movement causes redistribution of errors in astronomic measurements and significant variation of its main Gaussian characteristic. A kind of robust inertial/astronomic attitude determination algorithm with adaptive star geometrical error model is proposed. The adaptive star geometrical error distribution model is established for obtaining the main Gaussian model of astronomic measurement misalignment errors in flight. After that, inertial/astronomic integration model–based on misalignment errors is proposed, which avoids Euler angle transformation. On these bases, the improved robust filter algorithm is designed, which utilizes real-time astronomic error distribution as the weighting standard of Huber-based optimal estimation. Simulation results indicate that by taking the changing of main Gaussian distribution into consideration, the accuracy of inertial/astronomic integration is improved approximately 30% more than traditional algorithms adopting constant main Gaussian model in non-Gaussian HCV navigation environments.

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Acknowledgments

This work was partially supported by the National Natural Science Foundation of China (grant numbers 61374115, 61328301, 61203188, 91016019, 60904091, and 61210306075), the Funding for Outstanding Doctoral Dissertation in NUAA (grant number BCXJ10-05), the Priority Academic Program Development of Jiangsu Higher Education Institutions, the Fundamental Research Funds for the Central Universities, the Nanjing University of Aeronautics and Astronautics Special Research Funding, the peak of six personnel in Jiangsu Province (grant number 2013-JY-013), and the China Scholarship Council. The author would like to thank the anonymous reviewers for helpful comments and valuable remarks.

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Go to Journal of Aerospace Engineering
Journal of Aerospace Engineering
Volume 29Issue 2March 2016

History

Received: Jan 15, 2015
Accepted: Jun 8, 2015
Published online: Sep 8, 2015
Discussion open until: Feb 8, 2016
Published in print: Mar 1, 2016

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Authors

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Rong Wang, Ph.D.
College of Automation Engineering, Nanjing Univ. of Aeronautics and Astronautics, Nanjing 210016, P.R. China; and Research Fellow, Sonny Astani Dept. of Civil and Environmental Engineering, Univ. of Southern California, Los Angeles, CA 90089.
Professor, College of Automation Engineering, Nanjing Univ. of Aeronautics and Astronautics, Nanjing 210016, P.R. China (corresponding author). E-mail: [email protected]
Jianye Liu
Professor, College of Automation Engineering, Nanjing Univ. of Aeronautics and Astronautics, Nanjing 210016, P.R. China.
Lijuan Shi
Master Student, College of Automation Engineering, Nanjing Univ. of Aeronautics and Astronautics, Nanjing 210016, P.R. China.

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