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Modelling of vehicle longitudinal dynamics using system identification

This paper presents an alternative modelling technique known as system identification to represent longitudinal vehicle dynamics that relates the input of pedals pressing to the output speed. The input and output data are recorded by simulating a high-fidelity nonlinear vehicle mathematical model wi...

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Main Authors: Syahira, Husna, Abdullah, Muhammad, Ahmad, Salmiah, Zainuddin, Mohamed Al-Sideque, Tofrowaih, Khairul Amri
Format: Proceeding Paper
Language:English
English
Published: IET 2022
Subjects:
TJ212 Control engineering
Online Access:http://irep.iium.edu.my/104549/1/104549_Modelling%20of%20vehicle%20longitudinal%20dynamics.pdf
http://irep.iium.edu.my/104549/7/104549_Modelling%20of%20vehicle%20longitudinal%20dynamics_SCOPUS.pdf
http://irep.iium.edu.my/104549/
https://ieeexplore.ieee.org/document/9964162
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spelling my.iium.irep.1045492023-10-31T06:08:23Z http://irep.iium.edu.my/104549/ Modelling of vehicle longitudinal dynamics using system identification Syahira, Husna Abdullah, Muhammad Ahmad, Salmiah Zainuddin, Mohamed Al-Sideque Tofrowaih, Khairul Amri TJ212 Control engineering This paper presents an alternative modelling technique known as system identification to represent longitudinal vehicle dynamics that relates the input of pedals pressing to the output speed. The input and output data are recorded by simulating a high-fidelity nonlinear vehicle mathematical model with suitable sampling time. Different excitation input ranges are tested for the training process to get the best model representation. Once a suitable transfer function is obtained, a PID controller is tuned and implemented to control the brake and throttle pedals of the car based on the desired velocity profile. The simulation results show that the tuned PID controller managed to track the standard FTP75 drive cycles with an acceptable response. Based on these findings, it is noted that the system identification model can become a good alternative modelling technique to design a model-based controller or tune a classical controller for future applications. IET 2022-11-28 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/104549/1/104549_Modelling%20of%20vehicle%20longitudinal%20dynamics.pdf application/pdf en http://irep.iium.edu.my/104549/7/104549_Modelling%20of%20vehicle%20longitudinal%20dynamics_SCOPUS.pdf Syahira, Husna and Abdullah, Muhammad and Ahmad, Salmiah and Zainuddin, Mohamed Al-Sideque and Tofrowaih, Khairul Amri (2022) Modelling of vehicle longitudinal dynamics using system identification. In: 8th International Conference on Mechatronics Engineering (ICOM 2022), 9th - 10th August 2022, Kuala Lumpur (Virtual Conference). https://ieeexplore.ieee.org/document/9964162 10.1049/icp.2022.2267
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
topic TJ212 Control engineering
spellingShingle TJ212 Control engineering
Syahira, Husna
Abdullah, Muhammad
Ahmad, Salmiah
Zainuddin, Mohamed Al-Sideque
Tofrowaih, Khairul Amri
Modelling of vehicle longitudinal dynamics using system identification
description This paper presents an alternative modelling technique known as system identification to represent longitudinal vehicle dynamics that relates the input of pedals pressing to the output speed. The input and output data are recorded by simulating a high-fidelity nonlinear vehicle mathematical model with suitable sampling time. Different excitation input ranges are tested for the training process to get the best model representation. Once a suitable transfer function is obtained, a PID controller is tuned and implemented to control the brake and throttle pedals of the car based on the desired velocity profile. The simulation results show that the tuned PID controller managed to track the standard FTP75 drive cycles with an acceptable response. Based on these findings, it is noted that the system identification model can become a good alternative modelling technique to design a model-based controller or tune a classical controller for future applications.
format Proceeding Paper
author Syahira, Husna
Abdullah, Muhammad
Ahmad, Salmiah
Zainuddin, Mohamed Al-Sideque
Tofrowaih, Khairul Amri
author_facet Syahira, Husna
Abdullah, Muhammad
Ahmad, Salmiah
Zainuddin, Mohamed Al-Sideque
Tofrowaih, Khairul Amri
author_sort Syahira, Husna
title Modelling of vehicle longitudinal dynamics using system identification
title_short Modelling of vehicle longitudinal dynamics using system identification
title_full Modelling of vehicle longitudinal dynamics using system identification
title_fullStr Modelling of vehicle longitudinal dynamics using system identification
title_full_unstemmed Modelling of vehicle longitudinal dynamics using system identification
title_sort modelling of vehicle longitudinal dynamics using system identification
publisher IET
publishDate 2022
url http://irep.iium.edu.my/104549/1/104549_Modelling%20of%20vehicle%20longitudinal%20dynamics.pdf
http://irep.iium.edu.my/104549/7/104549_Modelling%20of%20vehicle%20longitudinal%20dynamics_SCOPUS.pdf
http://irep.iium.edu.my/104549/
https://ieeexplore.ieee.org/document/9964162
_version_ 1781777328859250688
score 13.211869

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