DocumentCode :
2818554
Title :
Modeling and Identifying the Acceleration Imposed on Maneuvering Spacecraft
Author :
Li Heng-nian ; Li Ji-sheng
Author_Institution :
Syst. Eng. Inst. (SEI), Xi´an JiaoTong Univ., Xi´an, China
fYear :
2009
fDate :
11-13 Dec. 2009
Firstpage :
1
Lastpage :
4
Abstract :
In consideration of maneuvering spacecraft, the uncertainty of thrust acceleration will cause enormous error to model and track the accelerating motion, it´s reasonable to think that the measurements mainly reflect the uncertainty of the thrust acceleration. This paper focuses on modeling and building on-line filter to identify the continuous thrust acceleration to compensate the uncertainty of the force model during the maneuver process, an elegant differential equation is derived for variable acceleration, an extended Kalman filter (EKF) is developed for dynamic system to identify forwardly the variable acceleration in real time, also the variational equation for the measurement vector to acceleration is put forward to linearise the discrete-time measurement equations. The mission flight scenery shows the algorithm developed here can estimate the acceleration and determine the orbital parameters precisely during the continuous thrust maneuver process.
Keywords :
Kalman filters; acceleration control; aircraft control; differential equations; motion control; vectors; accelerating motion; differential equation; discrete-time measurement equation; extended Kalman filter; measurement vector; online filter; spacecraft maneuvering; thrust acceleration; variational equation; Acceleration; Accelerometers; Differential equations; Extraterrestrial measurements; Filters; Force measurement; Motion measurement; Real time systems; Space vehicles; Tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4507-3
Electronic_ISBN :
978-1-4244-4507-3
Type :
conf
DOI :
10.1109/CISE.2009.5363436
Filename :
5363436
Link To Document :
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