DocumentCode
2893769
Title
Modeling, Identification and Compensation of Sins Guidance Instrument Error
Author
He, Jie ; Huang, Xian-lin
Author_Institution
Center for Control Theor. & Guidance Technol., Harbin Inst. of Technol.
fYear
2006
fDate
13-16 Aug. 2006
Firstpage
2479
Lastpage
2484
Abstract
Compared with inertial navigation system (INS) guidance instrument error compensation, a new approach is presented to compensate the strap down inertial navigation system (SINS) guidance instrument error. Firstly the error models are built based on the tracking data and telemetry data. Secondly the improved latent root estimation (LRE) is applied in order to overcome the multicolinearities of the error models and estimate the error parameters. Thus the error models are determined based on the estimated error parameters. Finally strap down inertial instrument errors are compensated based on the identified error models. Semi-physical simulation results show that the maximum height error decreases from 112m to 8m after the error compensation. It demonstrates the accuracy of the error models and the effectiveness of LRE. And it provides the foundation for the error compensation of SINS guidance instruments and improvement on SINS guidance precision
Keywords
aircraft navigation; error compensation; estimation theory; inertial navigation; parameter estimation; telemetry; tracking; error parameter estimation; guidance instrument error compensation; guidance instrument error identification; guidance instrument error modeling; latent root estimation; strap down inertial navigation system; telemetry data; tracking data; Accelerometers; Computer errors; Cybernetics; Error compensation; Error correction; Helium; Inertial navigation; Instruments; Machine learning; Parameter estimation; Silicon compounds; Telemetry; SINS; guidance instrument error modeling; latent root estimation; telemetry data; tracking data;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location
Dalian, China
Print_ISBN
1-4244-0061-9
Type
conf
DOI
10.1109/ICMLC.2006.258783
Filename
4028481
Link To Document