Graduation Semester and Year
2009
Language
English
Document Type
Thesis
Degree Name
Master of Science in Electrical Engineering
Department
Electrical Engineering
First Advisor
Jonathan W Bredow
Abstract
In this thesis, properties of the input-output relationships of a tractor-semitrailer combination vehicle were analyzed. Predictive models of the system were identified using only input-output data collected separately but for the same portion of the road. A vehicle equipped with an inertial profiling system and a strain gauge instrumented truck were used to collect the input and output data, respectively. Input-output combinations such as single-input-single-output (SISO), multiple-input-single-output (MISO), and multiple-input-multiple-output (MIMO) representing the vehicle models were investigated using the polynomial and state-space black-box modeling (i.e., system identification) techniques. Comparisons among measured and k-steps ahead predicted outputs and residual analysis were used for model validation. These preliminary studies suggest that such a system, for prediction purposes, can be modeled using linear dynamic models based on only input-output data. Researchers and practitioners can use the study results to develop applications related to pavement-vehicle interaction.
Disciplines
Electrical and Computer Engineering | Engineering
License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Recommended Citation
Irie, Bito, "Modeling An Instrumented (Tractor-semitrailer Combination) Vehicle: Using System Identification Methods" (2009). Electrical Engineering Theses. 155.
https://mavmatrix.uta.edu/electricaleng_theses/155
Comments
Degree granted by The University of Texas at Arlington