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Modelling and Analysis of All Terrain Vehicle (ATV) using System Identification for Yaw Stability

This paper presents the modelling and analysis of path-following planning motion of an All-Terrain Vehicle (ATV) using system identification technique in term of yaw stability. The modelling is based on the single track and established by using Newtonian equation motion. Mathematical modelling is co...

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Main Authors:	Ab Azis, Fadilah, Mohd Aras, Mohd Shahrieel, Ab Rashid, Mohd Zamzuri, Othman, Muhammad Nur, Khamis, K.S., Ghani, O.A.A.
Format:	Conference or Workshop Item
Language:	English
Published:	2014
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://eprints.utem.edu.my/id/eprint/14176/1/idecon2014_submission_65.pdf http://eprints.utem.edu.my/id/eprint/14176/
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id	my.utem.eprints.14176
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spelling	my.utem.eprints.141762015-05-28T04:36:42Z http://eprints.utem.edu.my/id/eprint/14176/ Modelling and Analysis of All Terrain Vehicle (ATV) using System Identification for Yaw Stability Ab Azis, Fadilah Mohd Aras, Mohd Shahrieel Ab Rashid, Mohd Zamzuri Othman, Muhammad Nur Khamis, K.S. Ghani, O.A.A. TJ Mechanical engineering and machinery This paper presents the modelling and analysis of path-following planning motion of an All-Terrain Vehicle (ATV) using system identification technique in term of yaw stability. The modelling is based on the single track and established by using Newtonian equation motion. Mathematical modelling is constructed in form of state space equation with the parameters used are measured through physical measurement of prototype ATV. Based on this model selection, the open loop system is simulated and the result will be validated by using system identification. Inertial Measurement Unit (IMU) sensor is used to collect and measure the data for the path-following planning. The analysis results for yaw stability of prototype ATV are validated by system identification method with step response approach. Both of the simulated and measured data is compared and the data is estimated to get the best fit for yaw estimation by using complimentary filter technique. From the result, the best fit for yaw estimation is 91.96% and considered as stabilized at steering angle 450. 2014-09-24 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/14176/1/idecon2014_submission_65.pdf Ab Azis, Fadilah and Mohd Aras, Mohd Shahrieel and Ab Rashid, Mohd Zamzuri and Othman, Muhammad Nur and Khamis, K.S. and Ghani, O.A.A. (2014) Modelling and Analysis of All Terrain Vehicle (ATV) using System Identification for Yaw Stability. In: International Conference on Design and Concurrent Engineeting (iDECON2014), 22 - 23 September 2014, Melaka, Malaysia.
institution	Universiti Teknikal Malaysia Melaka
building	UTEM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknikal Malaysia Melaka
content_source	UTEM Institutional Repository
url_provider	http://eprints.utem.edu.my/
language	English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Ab Azis, Fadilah Mohd Aras, Mohd Shahrieel Ab Rashid, Mohd Zamzuri Othman, Muhammad Nur Khamis, K.S. Ghani, O.A.A. Modelling and Analysis of All Terrain Vehicle (ATV) using System Identification for Yaw Stability
description	This paper presents the modelling and analysis of path-following planning motion of an All-Terrain Vehicle (ATV) using system identification technique in term of yaw stability. The modelling is based on the single track and established by using Newtonian equation motion. Mathematical modelling is constructed in form of state space equation with the parameters used are measured through physical measurement of prototype ATV. Based on this model selection, the open loop system is simulated and the result will be validated by using system identification. Inertial Measurement Unit (IMU) sensor is used to collect and measure the data for the path-following planning. The analysis results for yaw stability of prototype ATV are validated by system identification method with step response approach. Both of the simulated and measured data is compared and the data is estimated to get the best fit for yaw estimation by using complimentary filter technique. From the result, the best fit for yaw estimation is 91.96% and considered as stabilized at steering angle 450.
format	Conference or Workshop Item
author	Ab Azis, Fadilah Mohd Aras, Mohd Shahrieel Ab Rashid, Mohd Zamzuri Othman, Muhammad Nur Khamis, K.S. Ghani, O.A.A.
author_facet	Ab Azis, Fadilah Mohd Aras, Mohd Shahrieel Ab Rashid, Mohd Zamzuri Othman, Muhammad Nur Khamis, K.S. Ghani, O.A.A.
author_sort	Ab Azis, Fadilah
title	Modelling and Analysis of All Terrain Vehicle (ATV) using System Identification for Yaw Stability
title_short	Modelling and Analysis of All Terrain Vehicle (ATV) using System Identification for Yaw Stability
title_full	Modelling and Analysis of All Terrain Vehicle (ATV) using System Identification for Yaw Stability
title_fullStr	Modelling and Analysis of All Terrain Vehicle (ATV) using System Identification for Yaw Stability
title_full_unstemmed	Modelling and Analysis of All Terrain Vehicle (ATV) using System Identification for Yaw Stability
title_sort	modelling and analysis of all terrain vehicle (atv) using system identification for yaw stability
publishDate	2014
url	http://eprints.utem.edu.my/id/eprint/14176/1/idecon2014_submission_65.pdf http://eprints.utem.edu.my/id/eprint/14176/
_version_	1665905582277656576
score	13.211869

Modelling and Analysis of All Terrain Vehicle (ATV) using System Identification for Yaw Stability

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