ZHAO Han-dong, LI Zhi-peng, ZHANG Hui-suo
(School of Mechatronics Engineering, North University of China, Taiyuan 030051, China)
Abstract: Accurate navigation is important for long-range rocket projectile’s precise striking. To obtain stable and high-performance navigation result, a ultra-tight global positioning system/inertial navigation system (GPS/INS) integration based navigation approach is proposed. The accurate short-time output of INS is used by GPS receiver to assist in acquisition of signal, and output information of INS and GPS is fused based on federated filter. Meanwhile, the improved cubature Kalman filter with strong tracking ability is chosen to serve as the local filter, and then the federated filter is enhanced based on vector sharing theory. Finally, simulation results show that the navigation accuracy with the proposed method is higher than that with traditional methods. It provides reference for long-range rocket projectile navigation.
Key words: long-range rocket projectile; global position system; inertial measuring unit; ultra-tight integration
CLD number: TJ415Document code: A
Article ID: 1674-8042(2015)02-0153-08 doi: 10.3969/j.issn.1674-8042.2015.02.008
References
[1] Groves P D. Principles of GNSS, inertial, and multisensor integrated navigation systems. London:Artech House Publishers, 2008: 280-300.
[2] Hua M D. Attitude estimation for accelerated vehicles using GPS/INS measurements. Control Engineering Practice, 2010, 18(1): 723-732.
[3] ZHANG Tao, XU Xiao-su. A new method of seamless land navigation for GPS/INS integrated system. Measurement, 2012, 45(3): 691-701.
[4] WANG Xin-long, ZHANG Qing, LI Heng-nian. An autonomous navigation scheme based on starlight, geomagnetic and gyros with information fusion for small satellites. Acta Astronautica, 2014, 94(3): 708-717.
[5] Jwo D J, Yang C F, Chuang C H, et al. Performance enhancement for ultra-tight GPS/INS integration using a fuzzy adaptive strong tracking unscented Kalman filter, Nonlinear Dynamics, 2013, 73(1): 377-395.
[6] Goh S T, Abdelkhalik O, Zekavat S A. A weighted measurement fusion Kalman filter implementation for UAV navigation. Aerospace Science and Technology, 2013, 28(1): 315-323.
[7] Kazerooni M, Khayatian A. Data fusion for autonomous vehicle navigation based on federated filtering. In: Proceedings of the 2011 Australian Control Conference(AUCC 2011), Melbourne, Australia, 2011: 368-373.
[8] Bae J, Kim Y. Attitude estimation for satellite fault tolerant system using federated unscented Kalman filter. International Journal of Aeronautical & Space Science, 2010, 11(2): 80-86.
[9] Noack B, Julier S J, Reinhardt M, et al. Nonlinear federated filtering. In: Proceedings of the 16th international conference on information fusion, Istanbul, Turkey, 2013: 350-356.
[10] GU Qi-tai, FANG Jing. Global optimality for generalized federated filter. Acta Automatica Sinica, 2009, 35(10): 1310-1316.
[11] Arasaratnam I, Haykin S. Cubature Kalman filters. IEEE Transaction on Automatic Control, 2009, 54(6): 1254-1269.
[12] LIN Xiao-gong, XU Shu-sheng, XIE Ye-hai. Multi-sensor hybrid fusion algorithm based on adaptive square-root cubature Kalman filter. Journal of Marine Science and Application, 2013, 12 (2): 106-111.
[13] Jwo D J, Wang S H. Adaptive fuzzy strong tracking extended Kalman filtering for GPS navigation. IEEE Sensors Journal, 2007, 7(5): 778-789.
[14] CHEN Xi-yuan, SHEN Chong, ZHANG Wei-bin, et al. Novel hybrid of strong tracking Kalman filter and wavelet neural network for GPS/INS during GPS outages. Measurement, 2013, 46(2): 3847-3854.
[15] Hong S, Chun H H, Kwon S H. Observability measures and their application to GPS/INS. IEEE Transactions on Vehicular Technology, 2008, 57(1): 97-106.
[16] XIONG Zhi, CHEN Ji-hui, WANG Rong, et al. A new dynamic vector formed information sharing algorithm in federated filter. Aerospace Science and Technology, 2013, 29(1): 37-46.
基于超紧耦合GPS/INS的远程火箭弹组合导航方法
赵捍东, 李志鹏, 张会锁
(中北大学 机电工程学院, 山西 太原 030051)
摘要:精确导航对远程火箭弹的精准打击具有至关重要的作用。 为了获得稳定、高效的导航效果, 提出了一种基于GPS/INS超紧耦合的组合导航方法。 首先, 利用INS短时输出精度高的优势, 辅助GPS的信号捕获, 然后再将GPS的输出信息同INS的输出信息进行联邦滤波融合。 同时, 在滤波算法上使用了容积滤波算法, 并进行了强跟踪改进, 且对联邦滤波的因子分配方法进行了基于矢量分配原理的改进。最后进行了组合导航的仿真。 结果表明, 基于本文方法的导航精度高于普通紧组合方法的导航精度, 这为远程火箭弹的精确导航提供了参考。
关键词:远程火箭弹; 卫星定位系统; 惯性测量单元; 超紧耦合组合
引用格式:ZHAO Han-dong, LI Zhi-peng, ZHANG Hui-suo. Ultra-tight GPS/INS integration based long-range rocket projectile navigation method. Journal of Measurement Science and Instrumentation, 2015, 6(2): 153-160. [doi: 10.3969/j.issn.1674-8042.2015.02.008]
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