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Aircraft centre-of-gravity estimation using Gaussian process regression models

  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Aircraft centre of gravity (C.G.) is important for aircraft safety and performance. This paper proposes the use of Gaussian process regression (GPR) models for the estimation of the C.G. location of fixed-wing aircraft. The major benefit of using a GPR model is that it is a data-based approach explicitly tackling uncertainties caused by the quality and quantity of the data as well as sensor measurement noise. The proposed method consists of two steps: The estimation of the fuel tank's C.G. using the GPR model trained with fuel weight property data, and the computation of aircraft C.G. by the C.G. equation. A numerical case study of a transport aircraft shows that the proposed method achieves small mean squared error and gives good estimate of the aircraft C.G. under simulated flight scenarios.

Original languageEnglish
Title of host publicationAUS 2016 - 2016 IEEE/CSAA International Conference on Aircraft Utility Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages991-995
Number of pages5
ISBN (Electronic)9781509010875
DOIs
StatePublished - 17 Nov 2016
Event2016 IEEE/CSAA International Conference on Aircraft Utility Systems, AUS 2016 - Beijing, China
Duration: 10 Oct 201612 Oct 2016

Publication series

NameAUS 2016 - 2016 IEEE/CSAA International Conference on Aircraft Utility Systems

Conference

Conference2016 IEEE/CSAA International Conference on Aircraft Utility Systems, AUS 2016
Country/TerritoryChina
CityBeijing
Period10/10/1612/10/16

Keywords

  • Aircraft Fuel System
  • Aircraft Weight and Balance
  • Centre-of-Gravity Estimation
  • Gaussian Process
  • Kriging Interpolation

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