Electronics and Electrical Engineering and Control

Adaptive tracking method for hypersonic glide target

  • HUANG Jingshuai ,
  • LI Yongyuan ,
  • TANG Guojian ,
  • BAO Weimin
Expand
  • 1. College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China;
    2. China Academy of Launch Vehicle Technology, Beijing 100076, China;
    3. China Aerospace Science and Technology Corporation, Beijing 100048, China

Received date: 2019-12-30

  Revised date: 2020-02-07

  Online published: 2020-09-29

Abstract

A tracking approach with adaptive maneuver frequency is proposed in terms of tracking a Hpersonic Glide Target (HGT) with a variety of maneuver modes. The Singer model between the Constant Velocity (CV) and Constant Acceleration (CA) models is employed to represent the change of aerodynamic acceleration, followed by the establishment of a state equation for the tracking system. The measurement equation is then obtained based on the measurements for ground-based radar. In view of significantly different magnitudes between the range and angle, spherical measurements are transformed into position ones. To adapt to flexible and diverse maneuver modes of HGT, the adaptation of maneuver-frequency parameter is achieved in the Singer model based on the orthogonal principle and the Unscented Kalman Filter (UKF). An adjustment factor which can reflect the state model error is calculated via innovation of filtering and used to enlarge the maneuver frequency in the Singer model. The process noise is subsequently modified in the state equation, reducing the model error. Finally, by tracking two typical trajectories with maneuvers and making comparisons with other methods such as the interacting multiple model, the simulation results indicate that the proposed method has high tracking accuracy and little computational cost, and can well adapt to the step maneuver and the continuous maneuver with various intensity.

Cite this article

HUANG Jingshuai , LI Yongyuan , TANG Guojian , BAO Weimin . Adaptive tracking method for hypersonic glide target[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2020 , 41(9) : 323786 -323786 . DOI: 10.7527/S1000-6893.2019.23786

References

[1] 张远龙. 基于三维剖面的滑翔飞行器弹道规划与制导方法研究[D]. 长沙:国防科技大学, 2018:1-11. ZHANG Y L. Research on entry trajectory generation for hypersonic glide vehicles based on three-dimensional profile[D]. Changsha:National University of Defense Technology, 2018:1-11(in Chinese).
[2] 雍恩米, 钱炜褀, 何开锋. 基于雷达跟踪仿真的滑翔式再入弹道突防性能分析[J]. 宇航学报, 2012, 33(10):1370-1376. YONG E M, QIAN W Q, HE K F. Penetration ability analysis for glide reentry trajectory based on radar tracking[J]. Journal of Astronautics, 2012, 33(10):1370-1376(in Chinese).
[3] ZHANG K, XIONG J J, FU T T. Coupled dynamic model of state estimation for hypersonic glide vehicle[J]. Journal of System Engineering and Electronics, 2018, 29(6):1284-1292.
[4] LI X R, JILKOV V P. Survey of maneuvering target tracking. Part I:Dynamic models[J]. IEEE Transactions on Aerospace and Electronic Systems, 2003, 39(4):1333-1364.
[5] 吴楠, 陈磊. 高超声速滑翔再入飞行器弹道估计的自适应卡尔曼滤波[J]. 航空学报, 2013, 34(8):1960-1971. WU N, CHEN L. Adaptive Kalman filtering for trajectory estimation of hypersonic glide reentry vehicles[J]. Acta Aeronautica et Astronautica Sinica, 2013, 34(8):1960-1971(in Chinese).
[6] 李广华. 高超声速滑翔飞行器运动特性分析及弹道跟踪预报方法研究[D]. 长沙:国防科学技术大学, 2016:71-99. LI G H. Motion characteristics analysis and trajectory prediction for hypersonic glide vehicles[D]. Changsha:National University of Defense Technology, 2016:71-99(in Chinese).
[7] 张凯, 熊家军, 韩春耀, 等. 一种基于气动力模型的高超声速滑翔目标跟踪算法[J]. 宇航学报, 2017, 38(2):123-130. ZHANG K, XIONG J J, HAN C Y, et al. A tracking algorithm of hypersonic glide reentry vehicle via aerodynamic model[J]. Journal of Astronautics, 2017, 38(2):123-130(in Chinese).
[8] 王国宏, 李俊杰, 张翔宇, 等. 临近空间高超声速滑跃式机动目标的跟踪模型[J]. 航空学报, 2015, 36(7):2400-2410. WANG G H, LI J J, ZHANG X Y, et al. A tracking model for near space hypersonic slippage leap maneuvering target[J]. Acta Aeronautica et Astronautica Sinica, 2015, 36(7):2400-2410(in Chinese).
[9] 李凡, 熊家军. 临近空间高超声速跳跃滑翔式目标自适应跟踪模型[J]. 航空学报, 2018, 39(12):322355. LI F, XIONG J J. Adaptive tracking model for near space hypersonic jumping gliding target[J]. Acta Aeronautica et Astronautica Sinica, 2018, 39(12):322355(in Chinese).
[10] 张凯, 熊家军, 付婷婷, 等. 高超声速滑翔导弹气动参数自适应跟踪建模[J]. 国防科技大学学报, 2019, 41(1):101-107. ZHANG K, XIONG J J, FU T T, et al. Aerodynamic parametric modeling of hypersonic gliding missile for adaptive tracking[J]. Journal of National University of Defense Technology, 2019, 41(1):101-107(in Chinese).
[11] 肖楚晗, 李炯, 雷虎民, 等. 基于AVSIMM算法的高超声速再入滑翔目标跟踪[J]. 北京航空航天大学学报, 2019, 45(2):413-421. XIAO C H, LI J, LEI H M, et al. Hypersonic non-powered reentry gliding target tracking based on AVSIMM algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(2):413-421(in Chinese).
[12] 何睿智. 高超声速助推滑翔飞行器全程弹道规划方法研究[D]. 长沙:国防科技大学, 2017:35-49. HE R Z. Study of all-course trajectory planning approach for hypersonic boost-glide vehicles[D]. Changsha:National University of Defense Technology, 2017:35-49(in Chinese).
[13] MEHRA R K. Approaches to adaptive filtering[J]. IEEE Transactions on Automatic Control, 1972, 17(5):693-698.
[14] 刘畅, 杨锁昌, 汪连栋, 等. 基于自适应强跟踪CQKF的目标跟踪算法[J]. 北京航空航天大学学报, 2018, 44(5):982-990. LIU C, YANG S C, WANG L D, et al. Target tracking algorithm based on adaptive strong tracking CQKF[J]. Journal of Beijing University of Aeronautics and Astronautics, 2018, 44(5):982-990(in Chinese).
[15] WANG N, LI L Y, WANG Q. Adaptive UKF-based parameter estimation for Bouc-Wen model of magnetorheological and elastomer materials[J]. Journal of Aerospace Engineering, 2019, 32(1):0401830.
[16] YUAN Y X, GAO W G. An optimal adaptive Kalman filter[J]. Journal of Geodesy, 2006, 80(4):177-183.
[17] HUANG Y L, ZHANG Y G, WU Z M, et al. A novel adaptive Kalman filter with inaccurate process and measurement noise covariance matrices[J]. IEEE Transactions on Automatic Control, 2018, 63(2):594-601.
[18] ZHOU D H, FRANK P M. Strong tracking filtering of nonlinear time-varying stochastic systems with coloured noise:Application to parameter estimation and empirical robustness analysis[J]. International Journal of Control, 1996, 65(2):295-307.
[19] WANG Y D, SUN S M, LI L. Adaptively robust unscented Kalman filter for tracking a maneuvering vehicle[J]. Journal of Guidance, Control, and Dynamics, 2014, 37(5):1696-1701.
[20] 崔乃刚, 张龙, 王小刚, 等. 自适应高阶容积卡尔曼滤波在目标跟踪中的应用[J]. 航空学报, 2015, 36(12):3885-3895. CUI N G, ZHANG L, WANG X G, et al. Application of adaptive high-degree cubature Kalman filter in target tracking[J]. Acta Aeronautica et Astronautica Sinica, 2015, 36(12):3885-3895(in Chinese).
[21] JIANG Y Z, MA P B, BAOYIN H X. Residual-normalized strong tracking filter for tracking a noncooperative maneuvering spacecraft[J]. Journal of Guidance, Control, and Dynamics, 2019, 42(10):2304-2309.
[22] ZHANG H W, XIE J W, GE J A, et al. Strong tracking SCKF based on adaptive CS model for manoeuvring aircraft tracking[J]. IET Radar, Sonar & Navigation, 2018, 12(7):742-749.
[23] 蒋冬婷, 宁静, 万洪容. 基于似然函数的自适应Singer模型滤波算法[J]. 西南师范大学学报(自然科学版), 2019, 44(1):89-94. JIANG D T, NING J, WAN H R. An adaptive Singer model filter based on likelihood function[J]. Journal of Southwest China Normal University (Natural Science Edition), 2019, 44(1):89-94(in Chinese).
[24] LI X R, JILKOV V P. Survey of maneuvering target tracking. part Ⅱ:Motion models of ballistic and space targets[J]. IEEE Transactions on Aerospace and Electronic Systems, 2010, 46(1):96-119.
[25] SINGER R A. Estimating optimal tracking filter performance for manned maneuvering targets[J]. IEEE Transactions on Aerospace and Electronic Systems, 1970, 6(4):473-483.
[26] 赵琳. 非线性系统滤波理论[M]. 北京:国防工业出版社, 2012:52-134. ZHAO L. Nonlinear system filtering theory[M]. Beijing:National Defense Industry Press, 2012:52-134(in Chinese).
[27] ZHOU H R, KUMAR K S P. A "current" statistical model and adaptive algorithm for estimating maneuvering targets[J]. Journal of Guidance, Control, and Dynamics, 1984, 7(5):596-602.
[28] LI X R, JILKOV V P. Survey of maneuvering target tracking. part V:Multiple-model methods[J]. IEEE Transactions on Aerospace and Electronic Systems, 2005, 41(4):1255-1321.
Outlines

/