Vehicle-borne non-strapdown transfer alignment method and application with poor attitude observation information

被引：5

作者：

Lu, Jiazhen ^{[1
]}

Ye, Lili ^{[1
]}

Luo, Wei ^{[2
]}

Dong, Jing ^{[3
]}

Han, Songlai ^{[1
]}

机构：

[1] Cent South Univ, Sch Aeronaut & Astronaut, Changsha 410083, Peoples R China

[2] 9th Designing China Aerosp Sci Ind Corp, Wuhan 430000, Peoples R China

[3] Natl Univ Def Technol, Aerosp Sci & Engn, Changsha 410073, Peoples R China

来源：

MEASUREMENT | 2021年 / 176卷

基金：

中国国家自然科学基金;

关键词：

Transfer alignment; Kalman filter; Maneuver; Elevation; Poor attitude observation information; RAPID TRANSFER ALIGNMENT; H-INFINITY; COMPENSATION;

D O I：

10.1016/j.measurement.2021.109234

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

For transfer alignment in elevation maneuver, the system accuracy will be decreased or divergent because of the poor attitude observation information. What is the impact on the transfer alignment with poor attitude observation information caused by non-strapdown installation is still a problem. This paper proposes a vehicle-borne non-strapdown transfer alignment method to analyze it and to reduce the impact of poor attitude observation information and establishes observation equation that match with the physical model with poor attitude observation information. The design and comparison of 37? and 80? elevation maneuver angles are carried out. Because of lacking one-degree-of-freedom attitude information, the accuracy will be lower than that of the threedegree-of-freedom attitude information. In addition, both simulation and experiments show that the proposed method can improve the alignment accuracy under the condition of poor attitude observation information. When the elevation maneuver angle is close to 90?, the proposed method has better observation performance, and the relative heading error is close to the alignment precision which is under good attitude observation information.

引用

页数：10