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

作     者：XUE Haijian WANG Tao CAI Xinghui WANG Jintao LIU Fei XUE Haijian;WANG Tao;CAI Xinghui;WANG Jintao;LIU Fei

作者机构：High-Tech Institute of Xi’anXi’an 710025China Military Representative Office of Rocket Army Equipment DepartmentQingdao 266071China 

出 版 物：《Journal of Systems Engineering and Electronics》 (系统工程与电子技术（英文版）)

年 卷 期：2023年第34卷第5期

页      面：1333-1342页

核心收录：

学科分类：1201[管理学-管理科学与工程(可授管理学、工学学位)] 0808[工学-电气工程] 08[工学] 0804[工学-仪器科学与技术] 0811[工学-控制科学与工程] 

基　　金：supported by the National Natural Science Foundation of China(41174162). 

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

摘      要：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 optimiza-tion 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.