DocumentCode :
3092451
Title :
System identification for helicopter yaw dynamic modelling
Author :
Wang, Guanlin ; Zhu, Jihong ; Yang, Chengxu ; Xia, Hui
Author_Institution :
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
Volume :
4
fYear :
2011
fDate :
11-13 March 2011
Firstpage :
54
Lastpage :
57
Abstract :
This paper presents a method to accurately identify the yaw-dynamic model of an unmanned helicopter. First, the model´s structure is established by dynamic analysis. Then the model is reconstructed into a combination of three second-order subsystems. As the distribution of the damp ratios and natural frequencies of a second-order subsystems is limited, the model can be accurately identified from real-flight-test data. Finally, experiments are carried out to identify the yaw dynamic model. Results shown the modeling accuracy is improved through this approach.
Keywords :
helicopters; identification; motion control; remotely operated vehicles; helicopter yaw dynamic modelling; system identification; three second-order subsystems; unmanned helicopter; Analytical models; Atmospheric modeling; Data models; Gallium; Helicopters; Mathematical model; System identification; Aerial Robotics; Dynamics; Genetic Algorithm; Helicopter; Model Identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Research and Development (ICCRD), 2011 3rd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-839-6
Type :
conf
DOI :
10.1109/ICCRD.2011.5763852
Filename :
5763852
Link To Document :
بازگشت