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COBEM 2019
25th International Congress of Mechanical Engineering
NEURO-FUZZY SYSTEMS APPLIED ON A FIXED-WING AIRCRAFT CONTROL
Submission Author:
Renata Bernardes , MG , Brazil
Co-Authors:
Renata Bernardes, Bruno Luiz Pereira, Felipe Machini Malachias Marques, Roberto Mendes Finzi Neto
Presenter: Felipe Machini Malachias Marques
doi://10.26678/ABCM.COBEM2019.COB2019-0683
Abstract
The loss of the aircraft’s control during the flight is the main cause of death in aircraft accidents. Because of that, it becomes highly important the development of an efficient controller, that many times cannot be obtained through the classic techniques. In this study, the control of a fixed wing aircraft is done using Neuro-fuzzy systems with parameters obtained through Differential Evolution and Simulated Annealing. The MATLAB® software will be used to obtain the controller and to evaluate the system’s performance and stability. The obtained results indicate that the controller is able to compensate occasional system’s disturbance. Besides that, the Simulated Annealing presents a shorter runtime to find an optimal controller, in contrast, this method shows a greater results standard deviation, which suggests a greater randomness and imprecision than the Differential Evolution method.
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