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Erdal Kayacan

Learning Control of Tandem-Wing Tilt-Rotor UAV with Unsteady Aerodynamic Model

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  • Yunus Govdeli, Nanyang Technological University
  • ,
  • Sheikh Moheed Bin Muzaffar, Nanyang Technological University
  • ,
  • Raunak Raj, Nanyang Technological University
  • ,
  • Basman Elhadidi, Nanyang Technological University
  • ,
  • Erdal Kayacan

This paper presents a novel transition flight mathematical model of tilt-rotor unmanned aerial vehicles and demonstrates an application of a novel learning controller on the developed model. Instead of conventional steady aerodynamic models, an unsteady aerodynamic model capable of representing rapid changes in the air flow is developed for the tilt-rotor transition flight. The vehicle is controlled by a neuro-fuzzy learning controller, consisting of a type-2 fuzzy neural network and a proportional-derivative controller. Its results are compared with the results of proportional-integral-derivative controllers. It is evident from the results that the learning controller is capable of capturing the rapid changes in the aerodynamics and outperforms its nonlearning counterpart under perturbed conditions.

OriginalsprogEngelsk
Titel2019 IEEE International Conference on Fuzzy Systems, FUZZ 2019
ForlagIEEE
Udgivelsesår2019
Artikelnummer8859023
ISBN (Elektronisk)9781538617281
DOI
StatusUdgivet - 2019
Begivenhed2019 IEEE International Conference on Fuzzy Systems, FUZZ 2019 - New Orleans, USA
Varighed: 23 jun. 201926 jun. 2019

Konference

Konference2019 IEEE International Conference on Fuzzy Systems, FUZZ 2019
LandUSA
ByNew Orleans
Periode23/06/201926/06/2019
SponsorCenter for Eldercare and Rehabilitation Technology, College of Engineering, University of Missouri, Electrical Engineering and Computer Science, University of Missouri, et al., IEEE Computational Intelligence Society, Michigan Techological University

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