Title :
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
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;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2011 International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-4577-0305-8
DOI :
10.1109/ICMLC.2011.6016885
