Artificial Intelligence Applications of Hazardous Mitigation for Transport Aircraft in Severe Atmospheric Turbulence

DOI

10.2991/aiie-16.2016.121How to use a DOI?

Keywords

atmospheric turbulence; plunging motion; flight data recorder; nonlinear dynamic inversion

Abstract

This paper presents a new study of artificial intelligence applications through the simulation of improved control strategy to provide the mitigation concepts and formulate preventive actions for aircraft operation. The fuzzy-logic modeling (FLM) technique is used to establish flight control models with the function of nonlinear dynamic inversion based on the datasets from the flight data recorder (FDR). The improved control strategy can be obtained through the simulations of flight control models to enhance the stability and controllability before and during the severe atmospheric turbulence.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Ray C. Chang
PY  - 2016/11
DA  - 2016/11
TI  - Artificial Intelligence Applications of Hazardous Mitigation for Transport Aircraft in Severe Atmospheric Turbulence
BT  - Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)
PB  - Atlantis Press
SP  - 520
EP  - 523
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-16.2016.121
DO  - 10.2991/aiie-16.2016.121
ID  - Chang2016/11
ER  -