Two-position alignment for SINS based on north gyroscope bias self-observations
PENG Zhuo1,2, GUO Meifeng1, ZHANG Rong1, LUO Shouhong1
1. Engineering Research Center for Navigation Technology, Department of Precision Instrument, Tsinghua University, Beijing 100084, China;
2. Astronaut Center of China, Beijing 100094, China
Abstract:The traditional one-position initial alignment system for the strap-down inertial navigation system (SINS) is not completely observable because the unobservable east gyroscope bias creates a large heading error. The two-position method can improve the observability but always needs an additional precise rotator which is impractical. This paper describes a two-position method based on a north gyroscope bias self-observation, which only needs two arbitrary approximate horizontal positions. The north gyroscope bias is extracted from one position and transmitted to the other position as an observation to make the east gyroscope bias observable and reduce the heading error. The rotation angle is optimized using a comprehensive degree of observability which includes a relative degree of observability and an order of observability. The relative degree of observability indicates the observability of the same state for different conditions while the order of observability indicates the convergence rate. The relative degree of observability shows that the optimal rotation angle is ±90°, which is verified by numerical simulations. Tests show that this two-position method reduces the heading error from 0.268° to 0.041° and estimates the horizontal gyroscope bias.
彭卓, 郭美凤, 张嵘, 罗寿红. 基于北向陀螺零偏自观测的捷联惯性导航系统双位置初始对准方法[J]. 清华大学学报(自然科学版), 2016, 56(10): 1066-1071,1078.
PENG Zhuo, GUO Meifeng, ZHANG Rong, LUO Shouhong. Two-position alignment for SINS based on north gyroscope bias self-observations. Journal of Tsinghua University(Science and Technology), 2016, 56(10): 1066-1071,1078.
[1] 严恭敏, 秦永元. 捷联惯导系统静基座初始对准精度分析及仿真 [J]. 计算机仿真, 2006, 23(10):36-40.YAN Gongmin, QIN Yongyuan. Initial alignment accuracy analysis and simulation of strapdown inertial navigation system on a stationary base [J]. Computer Simulation, 2006, 23(10):36-40. (in Chinese)
[2] Lee J G, Park C G, Park H W. Multiposition alignment of strapdown inertial navigation system [J]. IEEE Transactions on Aerospace and Electronic Systems, 1993, 29(4):1323-1328.
[3] 吴哲明, 孙振国, 张文增, 等. 基于惯性测量单元旋转的陀螺漂移估计和补偿方法 [J]. 清华大学学报:自然科学版, 2014, 54(9):1143-1147.WU Zheming, SUN Zhenguo, ZHANG Wenzeng, et al. Gyroscope bias estimation and compensation by rotation of the inertial measurement unit [J]. Journal of Tsinghua University:Science and Technology, 2014, 54(9):1143-1147. (in Chinese)
[4] 缪玲娟, 田海. 车载激光捷联惯导系统的快速初始对准及误差分析 [J]. 北京理工大学学报, 2000, 20(2):205-209.MIAO Lingjuan, TIAN Hai. Fast initial alignment and its errors of RLG strapdown inertial navigation system for land vehicle [J]. Journal of Beijing Institute of Technology, 2000, 20(2):205-209. (in Chinese)
[5] LIU Baiqi, FANG Jiancheng. Double any-position alignment without rotatable device for SINS [C]//Proc of Sixth International Symposium on Instrumentation and Control Technology:Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence. Beijing:SPIE, 2006, 63575H.
[6] TAN Caiming, ZHU Xinhua, WANG Yu, et al. Multi-position alignment with arbitrary rotation axis for SINS [J]. Journal of Chinese Inertial Technology, 2015, 23(3):293-297.
[7] LI Jianli, FANG Jiancheng, ZHONG Maiying, et al. Gyro drift calibration method based on free double-position ground self-alignment for SINS [J]. Advanced Materials Research, 2011, 346:696-704.
[8] Sri R B, Venugopal R B, Chandrasekhary R S, et al. Novel two position ground alignment technique for strapdown inertial navigation system [C]//Proc of International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES 2014). Yogyakarta, Indonesia:IEEE Press, 2014:94-98.
[9] YU Fei, BEN Yueyang, LI Qian, et al. Optimal two-position alignment for strapdown inertial navigation system [C]//Proc of International Conference on Intelligent Computation Technology and Automation (ICICTA 2008). Changsha, China:IEEE Press, 2008:158-164.
[10] LAI Zhouji, XIONG Jian, LIU Jianye, et al. Improved arithmetic of two-position fast initial alignment for SINS using unscented Kalman filter [J]. International Journal of Innovative Computing, Information & Control, 2012, 8(4):2929-2940.
[11] 吴俊伟, 孙国伟, 张如, 等. 基于SVD方法的INS传递对准的可观测性能分析[J]. 中国惯性技术学报, 2005, 13(6):26-30.WU Junwei, SUN Guowei, ZHANG Ru, et al. Analysis on observability of INS transfer alignment based on SVD method [J]. Journal of Chinese Inertial Technology, 2005, 13(6):26-30. (in Chinese)
[12] LIU Yufei, CUI Pingyuan. Observability analysis of deep-space autonomous navigation system [C]//2006 Chinese Control Conference Proceedings. Harbin, China:IEEE Press, 2006:279-282.
[13] 马艳红, 胡军. 基于SVD理论的可观测度分析方法的几个反例[J]. 中国惯性技术学报, 2008, 16(4):448-452.MA Yanjun, HU jun. Counterexamples for degree of observability analysis method based on SVD theory [J]. Journal of Chinese Inertial Technology, 2008, 16(4):448-452. (in Chinese)
[14] Cho S Y, Lee H K, Lee H K. Observability and estimation error analysis of the initial fine alignment filter for nonleveling strapdown inertial navigation system [J]. Journal of Dynamic Systems Measurement and Control, 2013, 135, 021005.
[15] 孔星炜, 董景新, 吉庆昌, 等. 一种基于PWCS的惯导系统可观测度分析方法[J]. 中国惯性技术学报, 2011, 19(6):631-636.KONG Xingwei, DONG Jingxin, JI Qingchang, et al. INS observable degree analysis method based on PWCS [J]. Journal of Chinese Inertial Technology, 2011, 19(6):631-636. (in Chinese)