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

Yunus Govdeli; Sheikh Moheed Bin Muzaffar; Raunak Raj; Basman Elhadidi; Erdal Kayacan

doi:10.1109/FUZZ-IEEE.2019.8859023

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

Yunus Govdeli, Sheikh Moheed Bin Muzaffar, Raunak Raj, Basman Elhadidi, Erdal Kayacan

Research output: Contribution to book/anthology/report/proceeding › Article in proceedings › Research › peer-review

3 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	2019 IEEE International Conference on Fuzzy Systems, FUZZ 2019
Publisher	IEEE
Publication date	2019
Article number	8859023
ISBN (Electronic)	9781538617281
DOIs	https://doi.org/10.1109/FUZZ-IEEE.2019.8859023
Publication status	Published - 2019
Event	2019 IEEE International Conference on Fuzzy Systems, FUZZ 2019 - New Orleans, United States Duration: 23 Jun 2019 → 26 Jun 2019

Conference

Conference	2019 IEEE International Conference on Fuzzy Systems, FUZZ 2019
Country/Territory	United States
City	New Orleans
Period	23/06/2019 → 26/06/2019

Keywords

fuzzy neural network
learning control
tilt-rotor
unmanned aerial vehicle
unsteady aerodynamics

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10.1109/FUZZ-IEEE.2019.8859023

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@inproceedings{903437d0feb542568a928ceab4e88554,

title = "Learning Control of Tandem-Wing Tilt-Rotor UAV with Unsteady Aerodynamic Model",

abstract = "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.",

keywords = "fuzzy neural network, learning control, tilt-rotor, unmanned aerial vehicle, unsteady aerodynamics",

author = "Yunus Govdeli and {Bin Muzaffar}, {Sheikh Moheed} and Raunak Raj and Basman Elhadidi and Erdal Kayacan",

year = "2019",

doi = "10.1109/FUZZ-IEEE.2019.8859023",

language = "English",

booktitle = "2019 IEEE International Conference on Fuzzy Systems, FUZZ 2019",

publisher = "IEEE",

note = "2019 IEEE International Conference on Fuzzy Systems, FUZZ 2019 ; Conference date: 23-06-2019 Through 26-06-2019",

}

Govdeli, Y, Bin Muzaffar, SM, Raj, R, Elhadidi, B & Kayacan, E 2019, Learning Control of Tandem-Wing Tilt-Rotor UAV with Unsteady Aerodynamic Model. in 2019 IEEE International Conference on Fuzzy Systems, FUZZ 2019., 8859023, IEEE, 2019 IEEE International Conference on Fuzzy Systems, FUZZ 2019, New Orleans, United States, 23/06/2019. https://doi.org/10.1109/FUZZ-IEEE.2019.8859023

TY - GEN

T1 - Learning Control of Tandem-Wing Tilt-Rotor UAV with Unsteady Aerodynamic Model

AU - Govdeli, Yunus

AU - Bin Muzaffar, Sheikh Moheed

AU - Raj, Raunak

AU - Elhadidi, Basman

AU - Kayacan, Erdal

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

KW - fuzzy neural network

KW - learning control

KW - tilt-rotor

KW - unmanned aerial vehicle

KW - unsteady aerodynamics

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U2 - 10.1109/FUZZ-IEEE.2019.8859023

DO - 10.1109/FUZZ-IEEE.2019.8859023

M3 - Article in proceedings

AN - SCOPUS:85072715379

BT - 2019 IEEE International Conference on Fuzzy Systems, FUZZ 2019

PB - IEEE

T2 - 2019 IEEE International Conference on Fuzzy Systems, FUZZ 2019

Y2 - 23 June 2019 through 26 June 2019

ER -

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

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Keywords

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