Nonlinear controller of an air-cushion system for a swamp terrain vehicle: fuzzy logic approach

This paper presents the fuzzy logic controller (FLC) of an air-cushion system for a swamp peat terrain vehicle and describes the process by which it functions. Cushion pressure is controlled by an electronic proportional control valve and FLC using the output signal of the distance (height) measurin...

Full description

Bibliographic Details
Main Authors:	Hossain, Altab, Rahman, Mohammed Ataur, Mohiuddin, A. K. M.
Format:	Article
Language:	English
Published:	Professional Engineering Publishing 2011
Subjects:	TL1 Motor vehicles
Online Access:	http://irep.iium.edu.my/500/ http://irep.iium.edu.my/500/ http://irep.iium.edu.my/500/ http://irep.iium.edu.my/500/1/nonlinear_controller_of_an_air-cushion_system_for_a_swamp_terrain_vehicle.pdf

id	iium-500
recordtype	eprints
spelling	iium-5002013-07-03T03:20:43Z http://irep.iium.edu.my/500/ Nonlinear controller of an air-cushion system for a swamp terrain vehicle: fuzzy logic approach Hossain, Altab Rahman, Mohammed Ataur Mohiuddin, A. K. M. TL1 Motor vehicles This paper presents the fuzzy logic controller (FLC) of an air-cushion system for a swamp peat terrain vehicle and describes the process by which it functions. Cushion pressure is controlled by an electronic proportional control valve and FLC using the output signal of the distance (height) measuring sensor that was attached to the vehicle. The main purpose of this study was to develop a control scheme for an air-cushion system and to investigate the relationship between vehicle vertical position and the air-cushion system, and to illustrate the important role of the fuzzy logic control system. Experimental values were recorded in the laboratory for control system testing, and in the swamp peat terrain field for vehicle performance investigation. In this paper, a fuzzy logic expert system (FLES) model, based on the Mamdani approach, was developed to predict the changes in flowrate. The mean relative error of actual and predicted values from the FLES model of lowrate was found to be slightly above the acceptable limit. The goodness of fit of the prediction values from the FLES model was found to be close to 1.0 as expected, and hence demonstrated the good performance of the developed system. Professional Engineering Publishing 2011-06 Article PeerReviewed application/pdf en http://irep.iium.edu.my/500/1/nonlinear_controller_of_an_air-cushion_system_for_a_swamp_terrain_vehicle.pdf Hossain, Altab and Rahman, Mohammed Ataur and Mohiuddin, A. K. M. (2011) Nonlinear controller of an air-cushion system for a swamp terrain vehicle: fuzzy logic approach. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 225. pp. 721-734. ISSN 0954-4070 http://pid.sagepub.com/content/225/6/721.full.pdf DOI: 10.1177/0954407011400818
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TL1 Motor vehicles
spellingShingle	TL1 Motor vehicles Hossain, Altab Rahman, Mohammed Ataur Mohiuddin, A. K. M. Nonlinear controller of an air-cushion system for a swamp terrain vehicle: fuzzy logic approach
description	This paper presents the fuzzy logic controller (FLC) of an air-cushion system for a swamp peat terrain vehicle and describes the process by which it functions. Cushion pressure is controlled by an electronic proportional control valve and FLC using the output signal of the distance (height) measuring sensor that was attached to the vehicle. The main purpose of this study was to develop a control scheme for an air-cushion system and to investigate the relationship between vehicle vertical position and the air-cushion system, and to illustrate the important role of the fuzzy logic control system. Experimental values were recorded in the laboratory for control system testing, and in the swamp peat terrain field for vehicle performance investigation. In this paper, a fuzzy logic expert system (FLES) model, based on the Mamdani approach, was developed to predict the changes in flowrate. The mean relative error of actual and predicted values from the FLES model of lowrate was found to be slightly above the acceptable limit. The goodness of fit of the prediction values from the FLES model was found to be close to 1.0 as expected, and hence demonstrated the good performance of the developed system.
format	Article
author	Hossain, Altab Rahman, Mohammed Ataur Mohiuddin, A. K. M.
author_facet	Hossain, Altab Rahman, Mohammed Ataur Mohiuddin, A. K. M.
author_sort	Hossain, Altab
title	Nonlinear controller of an air-cushion system for a swamp terrain vehicle: fuzzy logic approach
title_short	Nonlinear controller of an air-cushion system for a swamp terrain vehicle: fuzzy logic approach
title_full	Nonlinear controller of an air-cushion system for a swamp terrain vehicle: fuzzy logic approach
title_fullStr	Nonlinear controller of an air-cushion system for a swamp terrain vehicle: fuzzy logic approach
title_full_unstemmed	Nonlinear controller of an air-cushion system for a swamp terrain vehicle: fuzzy logic approach
title_sort	nonlinear controller of an air-cushion system for a swamp terrain vehicle: fuzzy logic approach
publisher	Professional Engineering Publishing
publishDate	2011
url	http://irep.iium.edu.my/500/ http://irep.iium.edu.my/500/ http://irep.iium.edu.my/500/ http://irep.iium.edu.my/500/1/nonlinear_controller_of_an_air-cushion_system_for_a_swamp_terrain_vehicle.pdf
first_indexed	2023-09-18T20:07:37Z
last_indexed	2023-09-18T20:07:37Z
_version_	1777407264062177280

Nonlinear controller of an air-cushion system for a swamp terrain vehicle: fuzzy logic approach

Similar Items