Hybrid Cfd-Nnarx Modelling Of Single Mrf Valve For Visual Servoing.

Magnetorheological fluid (MRF) actuator emerged in the last decade as a potential system to replace electro-hydraulic servo system in precision applications. A complete closed-loop control system is necessary to support the accuracy of the system. Modelling of the valve is a crucial task in devel...

Full description

Bibliographic Details
Main Author:	Abu Bakar, Muhamad Husaini
Format:	Thesis
Published:	2017
Subjects:	TJ1-1570 Mechanical engineering and machinery
Online Access:	http://ezproxy.usm.my/login?url=http://ethesis.usm.my/jspui http://ezproxy.usm.my/login?url=http://ethesis.usm.my/jspui http://eprints.usm.my/36462/1/MUHAMAD_HUSAINI_ABU_BAKAR_24_Pages.pdf

id	usm-36462
recordtype	eprints
spelling	usm-364622018-05-17T03:09:54Z Hybrid Cfd-Nnarx Modelling Of Single Mrf Valve For Visual Servoing. Abu Bakar, Muhamad Husaini TJ1-1570 Mechanical engineering and machinery Magnetorheological fluid (MRF) actuator emerged in the last decade as a potential system to replace electro-hydraulic servo system in precision applications. A complete closed-loop control system is necessary to support the accuracy of the system. Modelling of the valve is a crucial task in developing an optimal control system for the valve, but the knowledge of fluid behaviour inside the valve channel remains scarce. This research aims to develop a plant model of MRF actuator using the system identification approach, where the Computational Fluid Dynamics (CFD) result is used as an input. The plant model is then used to design a closed-loop control system for the MRF actuator. To achieve this objective, a 3D CFD model was developed, and a steady state analysis was run to study fluid behaviours in the channel. Transient analysis with dynamic input was further performed to study the correlation between the current input and the volume flow rate as an output. Neural network nonlinear autoregressive network with exogenous inputs (NNARX) used data from the CFD to identify the plant model of an MRF valve. The result acquired from the CFD simulation and plant model gave good agreement with the experimental result with an error of less than 3%. The velocity in the MRF valve reduced 85% when the current varied from 0 to 0.8A. The hybrid CFD-NNARX model shows a small deviation from the experimental result with an average error of 4%. As a conclusion, the hybrid CFDNNARX has been proven useful in modelling the MRF actuator. The main contribution of this work is the plant model of an MRF actuator, which can be utilised as an input in controller design process of MRF actuator. 2017 Thesis NonPeerReviewed application/pdf http://eprints.usm.my/36462/1/MUHAMAD_HUSAINI_ABU_BAKAR_24_Pages.pdf http://ezproxy.usm.my/login?url=http://ethesis.usm.my/jspui Abu Bakar, Muhamad Husaini (2017) Hybrid Cfd-Nnarx Modelling Of Single Mrf Valve For Visual Servoing. PhD thesis, Universiti Sains Malaysia. http://eprints.usm.my/36462/
institution	Universiti Sains Malaysia Universiti Sains Malaysia
repository_type	Digital Repository
institution_category	Local University
building	USM Repository
collection	Online Access
topic	TJ1-1570 Mechanical engineering and machinery
spellingShingle	TJ1-1570 Mechanical engineering and machinery Abu Bakar, Muhamad Husaini Hybrid Cfd-Nnarx Modelling Of Single Mrf Valve For Visual Servoing.
description	Magnetorheological fluid (MRF) actuator emerged in the last decade as a potential system to replace electro-hydraulic servo system in precision applications. A complete closed-loop control system is necessary to support the accuracy of the system. Modelling of the valve is a crucial task in developing an optimal control system for the valve, but the knowledge of fluid behaviour inside the valve channel remains scarce. This research aims to develop a plant model of MRF actuator using the system identification approach, where the Computational Fluid Dynamics (CFD) result is used as an input. The plant model is then used to design a closed-loop control system for the MRF actuator. To achieve this objective, a 3D CFD model was developed, and a steady state analysis was run to study fluid behaviours in the channel. Transient analysis with dynamic input was further performed to study the correlation between the current input and the volume flow rate as an output. Neural network nonlinear autoregressive network with exogenous inputs (NNARX) used data from the CFD to identify the plant model of an MRF valve. The result acquired from the CFD simulation and plant model gave good agreement with the experimental result with an error of less than 3%. The velocity in the MRF valve reduced 85% when the current varied from 0 to 0.8A. The hybrid CFD-NNARX model shows a small deviation from the experimental result with an average error of 4%. As a conclusion, the hybrid CFDNNARX has been proven useful in modelling the MRF actuator. The main contribution of this work is the plant model of an MRF actuator, which can be utilised as an input in controller design process of MRF actuator.
format	Thesis
author	Abu Bakar, Muhamad Husaini
author_facet	Abu Bakar, Muhamad Husaini
author_sort	Abu Bakar, Muhamad Husaini
title	Hybrid Cfd-Nnarx Modelling Of Single Mrf Valve For Visual Servoing.
title_short	Hybrid Cfd-Nnarx Modelling Of Single Mrf Valve For Visual Servoing.
title_full	Hybrid Cfd-Nnarx Modelling Of Single Mrf Valve For Visual Servoing.
title_fullStr	Hybrid Cfd-Nnarx Modelling Of Single Mrf Valve For Visual Servoing.
title_full_unstemmed	Hybrid Cfd-Nnarx Modelling Of Single Mrf Valve For Visual Servoing.
title_sort	hybrid cfd-nnarx modelling of single mrf valve for visual servoing.
publishDate	2017
url	http://ezproxy.usm.my/login?url=http://ethesis.usm.my/jspui http://ezproxy.usm.my/login?url=http://ethesis.usm.my/jspui http://eprints.usm.my/36462/1/MUHAMAD_HUSAINI_ABU_BAKAR_24_Pages.pdf
first_indexed	2018-09-08T09:10:40Z
last_indexed	2018-09-08T09:10:40Z
_version_	1611029901962379264

Hybrid Cfd-Nnarx Modelling Of Single Mrf Valve For Visual Servoing.

Similar Items