Details
Translated title of the contribution | Nichtlineare Identifikation der gekoppelten Seiten- und Wankdynamik eines Fahrzeuges |
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Original language | English |
Title of host publication | Proc. of the 11th IEEE Mediterranean Conference on Control and Automation, MED03 |
Place of Publication | Rhodos , Greece |
Publication status | Published - 2003 |
Abstract
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Proc. of the 11th IEEE Mediterranean Conference on Control and Automation, MED03. Rhodos , Greece, 2003.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Nonlinear Identification of vehicle's coupled lateral and roll dynamics
AU - Abdellatif, H.
AU - Heimann, Bodo
AU - Hoffmann, Jan Martin
PY - 2003
Y1 - 2003
N2 - The implementation and design of modern car dynamics controller or driver assistance systems require suitable as well as high accurate dynamics models. The parameters of such models are generally unknown and have to be identified and used to design the controller systems. A vehicle's model is presented, by removing conventional simplification and coupling the lateral and roll car dynamics. The resulting model is high nonlinear in its parameters, thus the methods of nonlinear optimization are used for its identification. Nonlinear optimization with nonlinear least square approach and based on the trust region methods has been successfully implemented. The sensitivity analysis in frequency domain is used to improve the convergence of the algorithms. The application of the developed technique on experimental data demonstrates the accuracy of the considered model, as well as the successful implementation of the identification method. The real car dynamics could been reconstructed with high accuracy, for a wide range of steering frequencies and vehicle's speed.
AB - The implementation and design of modern car dynamics controller or driver assistance systems require suitable as well as high accurate dynamics models. The parameters of such models are generally unknown and have to be identified and used to design the controller systems. A vehicle's model is presented, by removing conventional simplification and coupling the lateral and roll car dynamics. The resulting model is high nonlinear in its parameters, thus the methods of nonlinear optimization are used for its identification. Nonlinear optimization with nonlinear least square approach and based on the trust region methods has been successfully implemented. The sensitivity analysis in frequency domain is used to improve the convergence of the algorithms. The application of the developed technique on experimental data demonstrates the accuracy of the considered model, as well as the successful implementation of the identification method. The real car dynamics could been reconstructed with high accuracy, for a wide range of steering frequencies and vehicle's speed.
M3 - Conference contribution
BT - Proc. of the 11th IEEE Mediterranean Conference on Control and Automation, MED03
CY - Rhodos , Greece
ER -