Journal of Systems Engineering and Electronics ›› 2023, Vol. 34 ›› Issue (5): 1333-1342.doi: 10.23919/JSEE.2023.000112

• Control Theory and Application • Previous Articles     Next Articles

Anti-interference self-alignment algorithm by attitude optimization estimation for SINS on a rocking base

Haijian XUE1(), Tao WANG1,*(), Xinghui CAI1(), Jintao WANG1(), Fei LIU2()   

  1. 1 High-Tech Institute of Xi’an, Xi’an 710025, China
    2 Military Representative Office of Rocket Army Equipment Department, Qingdao 266071, China
  • Received:2022-04-01 Online:2023-10-18 Published:2023-10-30
  • Contact: Tao WANG E-mail:xhaijian2012@126.com;wtao009@163.com;281474061@qq.com;wangjintaolove@126.com;536758423@qq.com
  • About author:
    XUE Haijian was born in 1986. He received his Ph.D. degree in armament science and technology from High-Tech Institute of Xi’an in 2017. He is a lecturer in High-Tech Institute of Xi’an. His research interests are on-board integrated navigation and multi-source information fusion. E-mail: xhaijian2012@126.com

    WANG Tao was born in 1978. He received his Ph.D. degree in mechanics from Xi’an Jiaotong University in 2022. He is a professor in High-Tech Institute of Xi’an. His research interests are on-board integrated navigation and warhead engineering. E-mail: wtao009@163.com

    CAI Xinghui was born in 1975. He received his Ph.D. degree in nuclear science and technology from Xi’an Jiaotong University in 2013. He is an associate professor in High-Tech Institute of Xi’an. His research interests are on-board integrated navigation and information integration. E-mail: 281474061@qq.com

    WANG Jintao was born in 1985. He received his Ph.D. degree in armament science and technology from High-Tech Institute of Xi’an in 2015. He is an associate professor in High-Tech Institute of Xi’an. His research interests are on-board integrated navigation and warhead engineering. E-mail: wangjintaolove@126.com

    LIU Fei was born in 1988. He received his bachelor’s degree in weapon launch engineering from High-Tech Institute of Xi’an in 2010. He is an engineer in Military Representative Office of Rocket Army Equipment Department in Qingdao. His research interests are on-board integrated navigation and initial alignment. E-mail: 536758423@qq.com
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (41174162)

Abstract:

The performance of a strapdown inertial navigation system (SINS) largely depends on the accuracy and rapidness of the initial alignment. A novel anti-interference self-alignment algorithm by attitude optimization estimation for SINS on a rocking base is presented in this paper. The algorithm transforms the initial alignment into the initial attitude determination problem by using infinite vector observations to remove the angular motions, the SINS alignment is heuristically established as an optimization problem of finding the minimum eigenvector. In order to further improve the alignment precision, an adaptive recursive weighted least squares (ARWLS) curve fitting algorithm is used to fit the translational motion interference-contaminated reference vectors according to their time domain characteristics. Simulation studies and experimental results favorably demonstrate its rapidness, accuracy and robustness.

Key words: strapdown inertial navigation system (SINS), initial alignment, anti-interference, rocking base, adaptive recursive weighted least squares (ARWLS)