The extended Kalman-Bucy filtering algorithm is applied to the problem of estimating the system parameters of a single-channel missile attitude control system. In particular, noisy observations of body angular rate, normal acceleration, and control surface deflec tion are used in the algorithm to obtain estimates of body angular rate, angle of attack, control surface deflection, air density, and missile velocity. Computational results obtained for this problem are presented. These results are evaluated to determine the applicapility of this estimator as a part of an adaptive control scheme. In addition, a general approach to the formulation of practical nonlinear estimation problems is suggested.
Nonlinear Estimation Via Kalman Filtering
IEEE Transactions on Aerospace and Electronic Systems ; AES-7 , 1 ; 79-84
01.01.1971
1638082 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Kalman Filtering for Matrix Estimation
Online Contents | 2006
|Kalman filtering for matrix estimation
IEEE | 2006
|Jth Moment Extended Kalman Filtering for Estimation of Nonlinear Dynamic Systems
British Library Conference Proceedings | 2008
|Kalman Filtering with Nonlinear State Constraints
IEEE | 2009
|Kalman filtering for spacecraft attitude estimation
NTRS | 1982
|