Share Email Print

Proceedings Paper

Multiexperiment data processing in identifying model helicopter’s yaw dynamics
Author(s): Haosheng Chen; Darong Chen
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

The multi-experiment data is usually needed in identifying a model helicopter's yaw dynamics. In order to strengthen the information of the dynamics and reduce the effect of the noise, a new kind of least square method by using a weighted criterion is investigated to estimate the model parameters. To calculate the factors of the weighted criterion, a neural perceptron is trained to determine the factors automatically. The simulated outputs of the model derived by this kind of method fit the measured outputs well. It is suggested that this kind of data processing method is useful in identifying the yaw dynamics and processing the multi-experiment data for the system identification.

Paper Details

Date Published: 2 September 2003
PDF: 6 pages
Proc. SPIE 5253, Fifth International Symposium on Instrumentation and Control Technology, (2 September 2003); doi: 10.1117/12.521527
Show Author Affiliations
Haosheng Chen, Tsinghua Univ. (China)
Darong Chen, Tsinghua Univ. (China)

Published in SPIE Proceedings Vol. 5253:
Fifth International Symposium on Instrumentation and Control Technology
Guangjun Zhang; Huijie Zhao; Zhongyu Wang, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?