Aerodynamic parameter estimation using adaptive unscented Kalman filter

Majed A. Majeed; Indra Narayan Kar

doi:10.1108/aeat-mar-2011-0038

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Aerodynamic parameter estimation using adaptive unscented Kalman filter

Majed A. Majeed Indra Narayan Kar

Year: 2013 Journal: Aircraft Engineering and Aerospace Technology Vol: 85 (4)Pages: 267-279 Publisher: Emerald Publishing Limited

DOI: 10.1108/aeat-mar-2011-0038

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Abstract

Purpose – The purpose of this paper is to estimate aerodynamic parameters accurately from flight data in the presence of unknown noise characteristics.

Keywords:

Kalman filter Aerodynamics Extended Kalman filter Control theory (sociology) Moving horizon estimation Noise (video) Computer science Estimation theory Fast Kalman filter Unscented transform Invariant extended Kalman filter Control engineering Engineering Aerospace engineering Artificial intelligence Algorithm

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Target Tracking and Data Fusion in Sensor Networks

Physical Sciences → Computer Science → Artificial Intelligence

Aerospace and Aviation Technology

Physical Sciences → Engineering → Aerospace Engineering

Inertial Sensor and Navigation

Physical Sciences → Engineering → Aerospace Engineering

Aerodynamic parameter estimation using adaptive unscented Kalman filter

Abstract

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