Maneuver model and trajectory prediction of near space hypersonic aircraft

被引：0
|
作者：
Zhang B. [1 ]
Zhou D. [1 ]
Wu S. [2 ]
机构：
[1] School of Astronautics, Harbin Institute of Technology, Harbin
[2] Department of Ground Air Navigation, Airforce Communication NCO Academy, Dalian
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2019年 / 41卷 / 09期
关键词：
Maneuver model; Near space aircraft; Observability of the nonlinear system; Tracking filter; Trajectory prediction;
D O I：
10.3969/j.issn.1001-506X.2019.09.21
中图分类号：
学科分类号：
摘要：
The tracking and trajectory prediction of axisymmetric hypersonic maneuvering aircraft in near space are discussed. By introducing three state variables related to aerodynamic parameters, a nonlinear maneuver model is established and the observability of the nonlinear tracking system based on the model is proved. For this nonlinear tracking system, an extended Kalman filter and a state predictor are designed to achieve trajectory tracking and prediction. The simulation results show that the proposed maneuver model achieves excellent tracking and prediction effects for the near space aircraft at the end of the cruise. © 2019, Editorial Office of Systems Engineering and Electronics. All right reserved.
引用
收藏
页码：2072 / 2079
页数：7
相关论文
共 30 条
  • [1] Yong H.P., Seo J.H., Lee J.G., Tracking using the variable-dimension filter with input estimation, IEEE Trans.on Aerospace & Electronic Systems, 31, 1, pp. 399-408, (1995)
  • [2] Park S.T., Lee J.G., Design of a practical tracking algorithm with radar measurements, IEEE Trans.on Aerospace and Electronic Systems, 34, 4, pp. 1337-1344, (1998)
  • [3] Park S.T., Lee J.G., Improved Kalman filter design for three-dimensional radar tracking, IEEE Trans.on Aerospace and Electronic Systems, 37, 2, pp. 727-739, (2001)
  • [4] Izanloo R., Fakoorian S.A., Yazdi H.S., Et al., Kalman filtering based on the maximum correntropy criterion in the presence of non-Gaussian noise, Proc.of the Annual Conference on Information Science and Systems, (2016)
  • [5] Chen B.D., Liu X., Zhao H.Q., Et al., Maximum correntropy Kalman filter, Automatica, 76, pp. 70-77, (2017)
  • [6] Arasaratnam I., Haykin S., Hurd T.R., Cubature Kalman filtering for continuous-discrete systems: theory and simulations, IEEE Trans.on Signal Processing, 58, 10, pp. 4977-4993, (2010)
  • [7] Kulikova M.V., Kulikov G.Y., Square-root accurate continuous-discrete extended Kalman filter for target tracking, Proc.of the IEEE 52nd Conference on Decision and Control, pp. 25-29, (2013)
  • [8] Meng X., Chen W.C., Trajectory estimation and prediction of reentry segments of tactical ballistic missiles, Proc.of Chinese Flight Mechanics Conference, pp. 269-275, (2005)
  • [9] Munir A., Atherton D.P., Adaptive interacting multiple model algorithm for tracking a manoeuvring target, IEE Proceedings-Radar, Sonar and Navigation, 142, 1, pp. 11-17, (1995)
  • [10] Zaveri M.A., Merchant S.N., Desai U.B., Tracking multiple point targets using genetic interacting multiple model based algorithm, Proc.of the IEEE International Symposium on Circuits and Systems, (2004)
123