Aircraft landing control in wind shear condition

Author

Lee, Chia-lin ; Juang, Jih-Gau

Author_Institution

Dept. of Commun., Nat. Taiwan Ocean Univ., Keelung, Taiwan

Volume

3

fYear

2011

fDate

10-13 July 2011

Firstpage

1180

Lastpage

1185

Abstract

Most aircraft accidents occurred during final approach or landing. This study proposes cerebellar model articulation controller (CMAC) to improve the performance of automatic landing system (ALS). The atmospheric disturbances affect not only flying qualities of an airplane but also flight safety. If the flight conditions are beyond the preset envelope, the automatic landing system (ALS) is disabled and the pilot takes over. An inexperienced pilot may not be able to guide the aircraft to a safe landing at the airport when wind shear is encountered. An adaptive type-2 fuzzy CMAC (FCMAC) is applied to PID control to construct intelligent landing system which can guide the aircraft to a safe landing in severe wind shear environment.

Keywords

accidents; adaptive control; air safety; aircraft landing guidance; cerebellar model arithmetic computers; fuzzy control; neurocontrollers; three-term control; PID control; adaptive type-2 fuzzy CMAC; aircraft accidents; aircraft landing control; airplane; atmospheric disturbances; automatic landing system; cerebellar model articulation controller; flight safety; intelligent landing system; landing safety; wind shear condition; Accidents; Aerospace control; Aircraft; Atmospheric modeling; Machine learning; Wind; Automatic landing system; Fuzzy CMAC; PID control; Wind shear;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics (ICMLC), 2011 International Conference on

Conference_Location

Guilin

ISSN

2160-133X

Print_ISBN

978-1-4577-0305-8

Type

conf

DOI

10.1109/ICMLC.2011.6016885

Filename

6016885