Identification of linear handling models for road vehicles

Date

2008-01-01

Author

ARIKAN, KUTLUK BİLGE
Ünlüsoy, Yavuz Samim
Korkmaz, I.
Celebi, A. O.

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This study reports the identification of linear handling models for road vehicles starting from structural identifiability analysis, continuing with the experiments to acquire data on a vehicle equipped with a sensor set and data acquisition system, and ending with the estimation of parameters using the collected data. The model structure originates from the well-known linear bicycle model that is frequently used in handling analysis of road vehicles. Physical parameters of the bicycle model structure are selected as the unknown parameter set that is to be identified. Global identifiability of the model structure is analysed, in detail, and concluded according to various available sensor sets. Physical parameters of the bicycle model structure are estimated using prediction error estimation method. Genetic algorithms are used in the optimisation phase of the identification algorithm to overcome the difficulty in the selection of initial values for parameter estimates. Validation analysis of the identified model is also presented. The identified model is shown to track the system response successfully.

Subject Keywords

Bicycle Model, Structural Identifiability, Transfer Function Method, Parameter Estimation, Prediction Error, Genetic Algorithm

URI

https://hdl.handle.net/11511/32485

Journal

VEHICLE SYSTEM DYNAMICS

DOI

https://doi.org/10.1080/00423110701576122

Collections

Graduate School of Natural and Applied Sciences, Article

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Citation Formats

K. B. ARIKAN, Y. S. Ünlüsoy, I. Korkmaz, and A. O. Celebi, “Identification of linear handling models for road vehicles,” VEHICLE SYSTEM DYNAMICS, pp. 621–645, 2008, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/32485.