Identification of linear handling models for road vehicles

Date

2008-01-01

Author

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

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

187
views

0
downloads

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

Suggestions

OpenMETU
Core

Identification of handling models for road vehicles Arıkan, Kutluk Bilge; Ünlüsoy, Yavuz Samim; Department of Mechanical Engineering (2008) This thesis reports the identification of linear and nonlinear 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 2 degrees of freedom (dof) linear model structure originates from the well known linear bicycle model that is frequently used in handling analysis of road vehicles. Physical...
An Approach for System Identification in Unmanned Surface Vehicles Erunsal, Izzet Kagan; Ahiska, Kenan; Kumru, Murat; Leblebicioğlu, Mehmet Kemal (2017-10-21) In this study, a system identification methodology is introduced to determine the model parameters of unmanned surface vehicles. The proposed identification scheme is based on sequencing the experiments according to their capabilities to identify the model parameters. In each experiment, the parameters to be found are updated and the results are validated before ascertaining the final value. A procedure to complete the identification work in an experiment, namely the required post-processing, the optimizati...
DERIVATION OF PRESCRIPTIVE ACCIDENT PREVENTION MODEL FROM PREDICTIVE MODELS USING ML ALGORITHMS Mammadov, Ahmad; Tokdemir, Onur Behzat; Department of Civil Engineering (2021-12-2) The main drive upon which this study relies is to introduce a prescriptive accident prevention model to avoid work related accidents by predicting outcomes of work-related accidents in pipeline construction with using machine learning algorithms. In depth study on construction accidents is crucial due to construction being one of the most hazardous industry and being temporary in nature. To come up with a prescriptive accident prevention model, all incident reports from a pipeline project were analysed and ...
Prediction of motor speed for low cost induction motor drives Özlü Ertan, Hatice Gülçin (2006-05-19) In this paper speed estimation methods for low cost, variable frequency induction motor drives are investigated. Such methods are required to minimize the computational effort and show little parameter dependence. Existing methods have limitations regarding the speed range or are applicable only if the motor size is such that certain requirements are met. Two methods described in the literature are considered. Three new methods of speed estimation are developed to improve their performance. The model used f...
Development of three way catalytic converters for elimination of hydrocarbons, carbon monoxide and nitric oxide in automotive exhaust Civan, Aylin; Önal, Işık; Department of Chemical Engineering (2014) In this study, catalytic performances of Three Way Catalysts (TWC) are investigated via Density Functional Theory (DFT) methods and catalytic activity tests in a dynamic test system simulating the exhaust conditions of automobiles. DFT techniques are implemented by Vienna Ab Initio Simulation Package (VASP) and effect of manganese doping in TWC compositions are evaluated with computations on manganese, palladium and rhodium substituted ceria-zirconia mixed oxide (CZO) surface models. Carbon monoxide oxidati...

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.