Multiexperiment data processing in identifying model helicopter’s yaw dynamics

Haosheng Chen; Darong Chen

doi:10.1117/12.521527

2 September 2003 Multiexperiment data processing in identifying model helicopter's yaw dynamics

Haosheng Chen, Darong Chen

Proceedings Volume 5253, Fifth International Symposium on Instrumentation and Control Technology; (2003) https://doi.org/10.1117/12.521527
Event: Fifth International Symposium on Instrumentation and Control Technology, 2003, Beijing, China

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.

Citation Download Citation

Haosheng Chen and Darong Chen "Multiexperiment data processing in identifying model helicopter's yaw dynamics", Proc. SPIE 5253, Fifth International Symposium on Instrumentation and Control Technology, (2 September 2003); https://doi.org/10.1117/12.521527

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