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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Bibliographic Details
Main Authors: Khan, Qudrat, Akmeliawati, Rini, Phan, Hoang Vu, Park, Hoon Cheol
Format: Conference or Workshop Item
Language:English
English
Published: IEEE 2016
Subjects:
Online Access: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
http://irep.iium.edu.my/61431/
http://ieeexplore.ieee.org/document/8066064/
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Summary: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.