A new morphing wing mechanism using smart actuators controlled by a self-tuning fuzzy logic controller

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Proceedings titleAIAA Centennial of Naval Aviation Forum "100 Years of Achievement and Progress"
ConferenceAIAA Centennial of Naval Aviation Forum 100 Years of Achievement and Progress"", 21 September 2011 through 22 September 2011, Virginia Beach, VA
SubjectExperimental validations; Fuzzy inference systems; Input-output mapping; Matlab/Simulink software; Position detection; Proportional integral derivatives; Self-tuning fuzzy logic controllers; Shape memory alloys(SMA); Actuators; Airfoils; Aviation; Fuzzy systems; Membership functions; Wind stress; Fuzzy logic
AbstractThe paper presents the design of an intelligent actuation control concept, self-tuning fuzzy logic Proportional-Integral-Derivative plus conventional On-Off, for a new morphing mechanism using smart materials made of Shape Memory Alloy (SMA) for the actuators. In this way, two fuzzy inference systems were developed and implemented in the self-tuning fuzzy logic controller. In the design phase, the input-output mappings of the fuzzy models were designed and a final architecture for the hybrid controller was obtained. The shapes chosen for inputs membership functions of both fuzzy inference systems were s-functions, π-functions, respectively z-functions, while the product fuzzy inference and the center average defuzzifier were applied (Sugeno). The obtained controller was numerically and experimentally implemented using the Matlab/Simulink software. Following preliminary numerical simulations which were conducted to tune the controller, an experimental validation was performed: bench tests and wind tunnel tests. Simultaneously, the aerodynamic part of the morphing wing model was validated: optimized airfoils were experimentally validated with the theoretically-determined airfoils obtained earlier. Also, the transition point real time position detection and visualization were realized in wind tunnel tests. © 2011 by Ruxandra Mihaela Botez. Published by the American Institute of Aeronautics and Astronautics, Inc.
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AffiliationNational Research Council Canada (NRC-CNRC)
Peer reviewedYes
NPARC number21271613
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Record identifiere1145c39-e130-452b-b38f-1cef0aaf3452
Record created2014-03-24
Record modified2016-05-09
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