@inproceedings{4213a56aa73544c382f30f7b8254ee80,
title = "Experimental study on dynamic modeling of flapping wing micro aerial vehicle",
abstract = "Flapping-wing Micro Aerial Vehicle (FWMAV) is a kind of aircraft which can produce lift and thrust by flapping the wings just like birds or insects. Wind tunnel experiment played an important role in the Micro Aerial Vehicle (MAV) research. This paper introduces wind tunnel experiments of a pair of flexible flapping wings, and analyzes mean and instantaneous characteristics of aerodynamic force and torque. According to the characters of force and torque, they are divided into average signals and periodic alternating signals. Average signals are related to motion characteristics of aircraft, like fixed wing aerial vehicle. Meanwhile, periodic alternating signals are related to periodic flapping up and down, and the frequency is the same as flapping frequency. Finally, the article establishes an available longitudinal flight dynamic model of FWMAV using small perturbation theory to deal with average signals and the model was verified by the real flight tests.",
keywords = "Average signals, Dynamic modeling, Flapping wing, Period alternating signals, Wind tunnel experiment",
author = "Shaoran Liang and Bifeng Song and Wenqing Yang and Peng Nian",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 10th International Conference on Intelligent Robotics and Applications, ICIRA 2017 ; Conference date: 16-08-2017 Through 18-08-2017",
year = "2017",
doi = "10.1007/978-3-319-65298-6\_54",
language = "英语",
isbn = "9783319652979",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "602--612",
editor = "Honghai Liu and YongAn Huang and Hao Wu and Zhouping Yin",
booktitle = "Intelligent Robotics and Applications - 10th International Conference, ICIRA 2017, Proceedings",
}