Linear model identification of beetle-mimicking flapping wing micro-air vehicle in hovering flight

Linear model identification of beetle-mimicking flapping wing micro-air vehicle in hovering flight

This paper presents a linear time invariant model identification for beetle mimicking flapping wing micro air vehicle (FWMAV) in hovering mode. The identification is facilitated by assuming the wings of the beetle rectangular in shape and the body is considered cylindrical. The main thrust is pro...

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Main Authors: Khan, Qudrat, Akmeliawati, Rini, Phan, Hoang Vu, Park, Hoon Cheol
Format: Conference or Workshop Item
Language:English
English
Published: IEEE 2016
Subjects:
TJ Mechanical engineering and machinery
TL500 Aeronautics
Online Access:http://irep.iium.edu.my/61431/
http://irep.iium.edu.my/61431/
http://irep.iium.edu.my/61431/
http://irep.iium.edu.my/61431/7/61431-Linear%20model%20identification%20of%20beetle-mimicking.pdf
http://irep.iium.edu.my/61431/13/61431_Linear%20model%20identification%20of%20beetle-mimicking%20flapping%20wing_SCOPUS%20CONF.pdf
id iium-61431
recordtype eprints
spelling iium-614312018-09-24T02:22:30Z http://irep.iium.edu.my/61431/ Linear model identification of beetle-mimicking flapping wing micro-air vehicle in hovering flight Khan, Qudrat Akmeliawati, Rini Phan, Hoang Vu Park, Hoon Cheol TJ Mechanical engineering and machinery TL500 Aeronautics This paper presents a linear time invariant model identification for beetle mimicking flapping wing micro air vehicle (FWMAV) in hovering mode. The identification is facilitated by assuming the wings of the beetle rectangular in shape and the body is considered cylindrical. The main thrust is provided by flapping the wings of the FWMAV whereas the trailing-edges-change mechanism was kept off. The measurable aerodynamic forces and moment’s measured data are utilized in the states' reconstruction. The state reconstruction was carried out via the discrete time integration of linear and angular acceleration. Having reconstructed the states, the standard least mean square estimation (LMSE) based estimation approach is used to estimate the system’s stability and control derivatives. The results of the estimation are validated with the experimental data, and show the success of the estimation approach. IEEE 2016 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/61431/7/61431-Linear%20model%20identification%20of%20beetle-mimicking.pdf application/pdf en http://irep.iium.edu.my/61431/13/61431_Linear%20model%20identification%20of%20beetle-mimicking%20flapping%20wing_SCOPUS%20CONF.pdf Khan, Qudrat and Akmeliawati, Rini and Phan, Hoang Vu and Park, Hoon Cheol (2016) Linear model identification of beetle-mimicking flapping wing micro-air vehicle in hovering flight. In: 2016 IEEE 4th International Symposium on Robotics and Intelligent Sensors (IRIS), Tokyo, Japan. http://ieeexplore.ieee.org/document/8066064/ 10.1109/IRIS.2016.8066064
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
English
topic TJ Mechanical engineering and machinery
TL500 Aeronautics
spellingShingle TJ Mechanical engineering and machinery
TL500 Aeronautics
Khan, Qudrat
Akmeliawati, Rini
Phan, Hoang Vu
Park, Hoon Cheol
Linear model identification of beetle-mimicking flapping wing micro-air vehicle in hovering flight
description This paper presents a linear time invariant model identification for beetle mimicking flapping wing micro air vehicle (FWMAV) in hovering mode. The identification is facilitated by assuming the wings of the beetle rectangular in shape and the body is considered cylindrical. The main thrust is provided by flapping the wings of the FWMAV whereas the trailing-edges-change mechanism was kept off. The measurable aerodynamic forces and moment’s measured data are utilized in the states' reconstruction. The state reconstruction was carried out via the discrete time integration of linear and angular acceleration. Having reconstructed the states, the standard least mean square estimation (LMSE) based estimation approach is used to estimate the system’s stability and control derivatives. The results of the estimation are validated with the experimental data, and show the success of the estimation approach.
format Conference or Workshop Item
author Khan, Qudrat
Akmeliawati, Rini
Phan, Hoang Vu
Park, Hoon Cheol
author_facet Khan, Qudrat
Akmeliawati, Rini
Phan, Hoang Vu
Park, Hoon Cheol
author_sort Khan, Qudrat
title Linear model identification of beetle-mimicking flapping wing micro-air vehicle in hovering flight
title_short Linear model identification of beetle-mimicking flapping wing micro-air vehicle in hovering flight
title_full Linear model identification of beetle-mimicking flapping wing micro-air vehicle in hovering flight
title_fullStr Linear model identification of beetle-mimicking flapping wing micro-air vehicle in hovering flight
title_full_unstemmed Linear model identification of beetle-mimicking flapping wing micro-air vehicle in hovering flight
title_sort linear model identification of beetle-mimicking flapping wing micro-air vehicle in hovering flight
publisher IEEE
publishDate 2016
url http://irep.iium.edu.my/61431/
http://irep.iium.edu.my/61431/
http://irep.iium.edu.my/61431/
http://irep.iium.edu.my/61431/7/61431-Linear%20model%20identification%20of%20beetle-mimicking.pdf
http://irep.iium.edu.my/61431/13/61431_Linear%20model%20identification%20of%20beetle-mimicking%20flapping%20wing_SCOPUS%20CONF.pdf
first_indexed 2023-09-18T21:27:08Z
last_indexed 2023-09-18T21:27:08Z
_version_ 1777412266755358720

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