Issue |
MATEC Web Conf.
Volume 288, 2019
2019 5th Asia Conference on Mechanical Engineering and Aerospace Engineering (MEAE 2019)
|
|
---|---|---|
Article Number | 01003 | |
Number of page(s) | 5 | |
Section | Mechanical Engineering | |
DOI | https://doi.org/10.1051/matecconf/201928801003 | |
Published online | 14 August 2019 |
Nonlinear inversion method based on dynamics model modification
Laboratory of Industrial and System Engineering, Beijing Institute of Technology,
Beijing, China
* Corresponding author: wukai_bit@qq.com
In the fields of modern aviation system, subgrade vehicle system and complex mechanical system, there is a problem that parameters of most dynamic models are inaccurate. This problem results in a large difference between the model results and the experimental results. In order to solve this problem, this paper build a nonlinear inversion method based on dynamics model modification (NIDM). Firstly, the error relationship was obtained by integrating the experimental data with the simulation results of the forward modelling model by the cost function and penalty function. Then, the problem of error function minimization was solved by using the parameter iteration generated by particle swarm optimization algorithm, and the corrected parameters of the forward modelling model were obtained. Finally, the method was tested by building a vehicle suspension vibration model and a pavement excitation model as test samples. The test results show that the fitting degree between the simulation results and the experimental results can be effectively improved by modifying the parameters of the dynamic model based on the NIDM method.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.