Title :
Wind-disturbance and aerodynamic parameter estimation of an experimental Launched Micro Air Vehicle using an EKF-like observer
Author :
Koehl, A. ; Boutayeb, M. ; Rafaralahy, H. ; Martinez, B.
Author_Institution :
Inst. franco-allemand de Recherches de St.-Louis, St. Louis, France
Abstract :
In this contribution we investigate the problem of wind disturbance and aerodynamic parameter estimation of a Gun-Launched Micro Air Vehicle (GLMAV) which is a new Micro Air Vehicle (MAV) concept, intended for outdoor flights, and using two-bladed coaxial contra-rotating rotors. A comprehensive GLMAV modeling is presented for hover and nearhover flight conditions and identified from experimental results. Hence we use a recent extension of the Extended Kalman Filter (EKF) with Sliding Window (EKFSW) to mainly improve the wind-disturbance estimation from very noisy accelerometer signals.
Keywords :
Kalman filters; aerodynamics; aircraft control; nonlinear filters; parameter estimation; rotors; accelerometer signal; aerodynamic parameter estimation; experimental launched micro air vehicle; extended Kalman filter-like observer; gun-launched micro air vehicle modeling; near-hover flight condition; sliding window; two-bladed coaxial contra-rotating rotor; wind disturbance estimation; Aerodynamics; Data models; Equations; Estimation; Load modeling; Mathematical model; Rotors;
Conference_Titel :
Decision and Control (CDC), 2010 49th IEEE Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4244-7745-6
DOI :
10.1109/CDC.2010.5718080