DocumentCode :
3326798
Title :
System identification and attitude control of a small scale unmanned helicopter
Author :
Fan, Caizhi ; Song, Baoquan ; Cai, Xuanping ; Liu, Yunhui
Author_Institution :
Coll. of Electr. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha
fYear :
2009
fDate :
22-25 Feb. 2009
Firstpage :
1342
Lastpage :
1347
Abstract :
This paper copes with the problem of identifying the attitude dynamics of a small scale helicopter using the frequency sweep technology based on the flight data collected near the hovering condition. The frequency domain responses of a helicopter in the lateral, longitudinal and yaw channels are analysed by the partial coherence method, and the transfer functions are obtained by the weighted fitting method. The proposed method can identify the attitude dynamics including the actuator dynamics using the flight data only without carrying out any additional ground experiments. The models identified are verified by comparing model outputs with the experimental data on a small scale helicopter in our lab. We also carried out experiments on the attitude control of the helicopter to further validate the identified models.
Keywords :
actuators; aircraft control; attitude control; control system analysis; frequency-domain analysis; helicopters; remotely operated vehicles; transfer functions; actuator dynamics; attitude control; attitude dynamics identification; frequency domain response; frequency sweep technology; partial coherence analysis method; small scale unmanned helicopter; transfer function; weighted fitting method; Actuators; Attitude control; Automatic control; Frequency domain analysis; Helicopters; Neural networks; Paper technology; Predictive models; System identification; Transfer functions; Attitude control; Frequency domain identification; Unmanned helicopter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Biomimetics, 2008. ROBIO 2008. IEEE International Conference on
Conference_Location :
Bangkok
Print_ISBN :
978-1-4244-2678-2
Electronic_ISBN :
978-1-4244-2679-9
Type :
conf
DOI :
10.1109/ROBIO.2009.4913195
Filename :
4913195
Link To Document :
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