Title :
An Intelligent Calibration of SINS Using Neural Networks on Moving Base
Author :
Wang, Xinlong ; Shen, Liangliang ; Guo, Longhua
Author_Institution :
Sch. of Astronaut., Beijing Univ. of Aeronaut. & Astronaut., Beijing
Abstract :
In order to weaken the error of inertial sensors and to improve assaulting precision of an air launched missile, the technology of neural networks was attempted to on-line calibration of Strapdown Inertial Navigation System (SINS). Aiming at the time-varied specialty of SINS on moving base, an input-output sample structure was proposed to treat the neural networks for calibrating and revising the error of inertial instrument. Consequently, when a missile was appending under the wing, the trained neural networks can be straightway used for automatic calibration in the free-flight phase; In order to resolve inconsistent measurement of gyroscopes and accelerometers when a missile was appending under the wing and in free-flight phase modes, the error angles between master and slave SINS were estimated in advance, then the input sample of neural networks can simulate the free-flight phase. As a result, the precision of inertial sensors can be greatly improved, and the simulation results indicate that the intelligent calibration method is feasible.
Keywords :
aerospace computing; calibration; inertial navigation; knowledge based systems; missiles; neural nets; SINS; Strapdown Inertial Navigation System; accelerometers; air launched missile; automatic calibration; free-flight phase; free-flight phase modes; gyroscopes; inertial sensors; input-output sample structure; intelligent calibration; moving base; neural networks; Calibration; Inertial navigation; Instruments; Intelligent networks; Intelligent sensors; Missiles; Neural networks; Phase measurement; Sensor systems; Silicon compounds; Kalman filter; Neural Networks; calibration; inertial navigation system;
Conference_Titel :
Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3490-9
DOI :
10.1109/PACIIA.2008.249