Mathematical modelling of electrohydraulic servovalve system

Electrohydraulic servo valve (EHSV) uses lower power electrical signals for controlling the movements or positions of large power hydraulic pistons or motors. The electrohydraulic system is widely used in marine and aerospace industries, which require fast and accurate response, such as aircraft con...

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Main Author: Eng, David
Other Authors: Ang Hock Eng
Format: Final Year Project
Language:English
Published: 2017
Subjects:
Online Access:http://hdl.handle.net/10356/71698
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-716982023-03-04T18:47:53Z Mathematical modelling of electrohydraulic servovalve system Eng, David Ang Hock Eng School of Mechanical and Aerospace Engineering DRNTU::Engineering::Mechanical engineering::Fluid mechanics Electrohydraulic servo valve (EHSV) uses lower power electrical signals for controlling the movements or positions of large power hydraulic pistons or motors. The electrohydraulic system is widely used in marine and aerospace industries, which require fast and accurate response, such as aircraft controls and numerically controlled machine tools. Mathematical modeling based on control theory and fluid power system was developed for electrohydraulic servo-valve system. The parametric variation of each component in the modelled hydraulic system was carried out, and a computer simulation software, MATLAB, was employed in the analyses, so as to gain a better understanding of the parametric variation effects on the stability and response of the electrohydraulic servo valve system. The proportional integral derivative (PID) controller was incorporated into the transfer function of the mathematical model in order to fine tune the system stability and dynamic response when the system is subjected varying input loading conditions. Bachelor of Engineering (Mechanical Engineering) 2017-05-18T09:02:26Z 2017-05-18T09:02:26Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/71698 en Nanyang Technological University 121 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Mechanical engineering::Fluid mechanics
spellingShingle DRNTU::Engineering::Mechanical engineering::Fluid mechanics
Eng, David
Mathematical modelling of electrohydraulic servovalve system
description Electrohydraulic servo valve (EHSV) uses lower power electrical signals for controlling the movements or positions of large power hydraulic pistons or motors. The electrohydraulic system is widely used in marine and aerospace industries, which require fast and accurate response, such as aircraft controls and numerically controlled machine tools. Mathematical modeling based on control theory and fluid power system was developed for electrohydraulic servo-valve system. The parametric variation of each component in the modelled hydraulic system was carried out, and a computer simulation software, MATLAB, was employed in the analyses, so as to gain a better understanding of the parametric variation effects on the stability and response of the electrohydraulic servo valve system. The proportional integral derivative (PID) controller was incorporated into the transfer function of the mathematical model in order to fine tune the system stability and dynamic response when the system is subjected varying input loading conditions.
author2 Ang Hock Eng
author_facet Ang Hock Eng
Eng, David
format Final Year Project
author Eng, David
author_sort Eng, David
title Mathematical modelling of electrohydraulic servovalve system
title_short Mathematical modelling of electrohydraulic servovalve system
title_full Mathematical modelling of electrohydraulic servovalve system
title_fullStr Mathematical modelling of electrohydraulic servovalve system
title_full_unstemmed Mathematical modelling of electrohydraulic servovalve system
title_sort mathematical modelling of electrohydraulic servovalve system
publishDate 2017
url http://hdl.handle.net/10356/71698
_version_ 1759856413702619136