The neural networks augmented active wing load control system

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

Abstract

The paper considers the problem of wing load control problems. To stabilize and control the wing load of the aircraft, an active wing load control system is designed. The dynamic model inversion is used as the feedback linearization method of choice. To dispose the model drift and instability of the aerodynamic model, an on line adaptive neural networks is introduced to reconstruct the inversion error. The simulation results show that the active wing load control system is well competent for controlling and stabilizing the wing load, and has a good robustness while the aerodynamics condition is drifting.

Original languageEnglish
Title of host publicationProceedings of the 7th World Congress on Intelligent Control and Automation, WCICA'08
Pages1340-1344
Number of pages5
DOIs
StatePublished - 2008
Externally publishedYes
Event7th World Congress on Intelligent Control and Automation, WCICA'08 - Chongqing, China
Duration: 25 Jun 200827 Jun 2008

Publication series

NameProceedings of the World Congress on Intelligent Control and Automation (WCICA)

Conference

Conference7th World Congress on Intelligent Control and Automation, WCICA'08
Country/TerritoryChina
CityChongqing
Period25/06/0827/06/08

Keywords

  • Aerodynamics
  • Feedback linearization
  • Model inversion
  • Neural network
  • Wing load control

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