To identify the micro helicopter’s yaw dynamics, the system identification method is used and is proved to be suitable according to the validation results. In order to strengthen the information of the dynamics and reduce the effect of the noise when processing the experiment data, the conventional system identification method is modified and a weighted criterion is investigated to estimate the model parameters. In calculating the factors of the weighted criterion, a perceptron is trained to allocate the factors automatically. The model validation result shows that the model derived by this kind of method can fit the measured outputs well. The modified system identification method would be useful in identifying dynamic systems which use the multiexperiment data.
Identification of a Model Helicopter’s Yaw Dynamics
Contributed by the Dynamic Systems, Measurement, and Control Division of THE AMERICAN SOCIETY OF MECHANICAL ENGINEERS for publication in the ASME JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received December 21, 2003; final revision, November 29, 2004. Review conducted by: F. Ghorbel.
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Haosheng, C., and Darong, C. (May 10, 2005). "Identification of a Model Helicopter’s Yaw Dynamics ." ASME. J. Dyn. Sys., Meas., Control. March 2005; 127(1): 140–145. https://doi.org/10.1115/1.1849243
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