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Fuzzy Logic-Based Control for a Morphing Wing Tip Actuation System: Design, Numerical Simulation, and Wind Tunnel Experimental Testing

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École de Technologie Supérieure, Laboratory of Active Controls, Avionics and AeroServoElasticity LARCASE, Montreal, QC H3C-1K3, Canada
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Military Technical Academy “Ferdinand I”, Faculty of Aircraft and Military Vehicles, Center of Excellence in Self-Propelled Systems and Technologies for Defense and Security, Bucharest 040531, Romania
3
Aerodynamics Laboratory, NRC Aerospace, National Research Council Canada, Ottawa, ON K1A0R6, Canada
*
Author to whom correspondence should be addressed.
Biomimetics 2019, 4(4), 65; https://doi.org/10.3390/biomimetics4040065
Received: 1 August 2019 / Revised: 10 September 2019 / Accepted: 19 September 2019 / Published: 21 September 2019
(This article belongs to the Special Issue Morphing Aircraft Systems)
The paper presents the design, numerical simulation, and wind tunnel experimental testing of a fuzzy logic-based control system for a new morphing wing actuation system equipped with Brushless DC (BLDC) motors, under the framework of an international project between Canada and Italy. Morphing wing is a prime concern of the aviation industry and, due to the promising results, it can improve fuel optimization. In this idea, a major international morphing wing project has been carried out by our university team from Canada, in collaboration with industrial, research, and university entities from our country, but also from Italy, by using a full-scaled portion of a real aircraft wing equipped with an aileron. The target was to conceive, manufacture, and test an experimental wing model able to be morphed in a controlled manner and to provide in this way an extension of the laminar airflow region over its upper surface, producing a drag reduction with direct impact on the fuel consumption economy. The work presented in the paper aims to describe how the experimental model has been developed, controlled, and tested, to prove the feasibility of the morphing wing technology for the next generation of aircraft. View Full-Text
Keywords: morphing wing; experimental model; control system; fuzzy logic; BLDC motors; wind tunnel testing; pressure data processing; infrared thermography morphing wing; experimental model; control system; fuzzy logic; BLDC motors; wind tunnel testing; pressure data processing; infrared thermography
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Khan, S.; Grigorie, T.L.; Botez, R.M.; Mamou, M.; Mébarki, Y. Fuzzy Logic-Based Control for a Morphing Wing Tip Actuation System: Design, Numerical Simulation, and Wind Tunnel Experimental Testing. Biomimetics 2019, 4, 65.

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