Nonlinear System Identification of Road Simulation Platform

Paper #:
  • 2010-01-1539

Published:
  • 2010-05-05
Citation:
Wang, B. and Guo, X., "Nonlinear System Identification of Road Simulation Platform," SAE Technical Paper 2010-01-1539, 2010, https://doi.org/10.4271/2010-01-1539.
Pages:
8
Abstract:
On road simulation, both the traditional iterative method based on frequency response function (FRF) and adaptive control method based on the CARMA model are realized by using linear model to identify the target test system. However the real test system is very complicated because of various nonlinear factors. Linear models approximately describe the system only in a small range. Therefore, system simulation methods can not be used to validate the developed control algorithm and the uncertainty of test accordingly increases. As mentioned above, this paper presents a model to identify the nonlinear test system using NARMA dynamic neural network and discusses how to make the model parameters in detail. Using the test input-output series data, this network was trained by Levenberg-Marquardt method. Results of verification simulation show the validation of the nonlinear model.
Access
Now
SAE MOBILUS Subscriber? You may already have access.
Buy
Select
Price
List
Download
$28.00
Mail
$28.00
Members save up to 42% off list price.
Share
HTML for Linking to Page
Page URL

Related Items

Technical Paper / Journal Article
2011-05-17
Training / Education
2018-06-05
Video
2017-03-26
Training / Education
2011-04-12
Technical Paper / Journal Article
2011-05-17
Technical Paper / Journal Article
2011-05-17
Event
2018-04-10
Technical Paper / Journal Article
2011-05-17