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Artificial neural network based controller for line starting performance synchronous motor of a conveyor system using field oriented self

This paper presents the design process of a synchronous motor of conveyor system using field oriented control of line starting [1]. The preliminary design is d-q model armature rotor line start synchronous motor with field oriented control for decreasing a starting current and torque. The design all...

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Main Authors: Birowo, Birowo, Ahmad, Robiah, Zamzuri, Hairi, Priyono, Agus
Format: Conference or Workshop Item
Published: 2015
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://eprints.utm.my/id/eprint/62286/
http://conference.researchbib.com/view/event/45355
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spelling my.utm.622862017-07-31T08:39:13Z http://eprints.utm.my/id/eprint/62286/ Artificial neural network based controller for line starting performance synchronous motor of a conveyor system using field oriented self Birowo, Birowo Ahmad, Robiah Zamzuri, Hairi Priyono, Agus TJ Mechanical engineering and machinery This paper presents the design process of a synchronous motor of conveyor system using field oriented control of line starting [1]. The preliminary design is d-q model armature rotor line start synchronous motor with field oriented control for decreasing a starting current and torque. The design allows the motor to operate at both starting and synchronous speed. The basic equations for parkclark transformation of the rotor-stator for proposed field oriented self-controlled to synchronous motor are presented [2]. The starting performance of synchronous motor, for example in conveyor application, requires rapid dynamics and precise regulation; hence the need of direct control is becoming an urgent demand. This type of control provides an independent field oriented selfcontrolled of torque and current, which is similar to a separately excited synchronous motor and offers a number of attractive features. Synchronous motor has a high starting torque while separately s y n c h r o n o u s motor can operate above the base low speed in the line starting current [3]. This paper designs study and highlights the effectiveness of the proposed field oriented control methods for a line starting performance of synchronous motor model parameter, using artificial neural network methods both simulation and manufacturers measured experimental data. A steady state and transient analysis of the synchronous motor is performed below and above base line starting current. 2015 Conference or Workshop Item PeerReviewed Birowo, Birowo and Ahmad, Robiah and Zamzuri, Hairi and Priyono, Agus (2015) Artificial neural network based controller for line starting performance synchronous motor of a conveyor system using field oriented self. In: 2015 International Symposium on Sciences and Mathematics (ISYSM 2015), 24-26 Nov, 2015, Indonesia. http://conference.researchbib.com/view/event/45355
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Birowo, Birowo
Ahmad, Robiah
Zamzuri, Hairi
Priyono, Agus
Artificial neural network based controller for line starting performance synchronous motor of a conveyor system using field oriented self
description This paper presents the design process of a synchronous motor of conveyor system using field oriented control of line starting [1]. The preliminary design is d-q model armature rotor line start synchronous motor with field oriented control for decreasing a starting current and torque. The design allows the motor to operate at both starting and synchronous speed. The basic equations for parkclark transformation of the rotor-stator for proposed field oriented self-controlled to synchronous motor are presented [2]. The starting performance of synchronous motor, for example in conveyor application, requires rapid dynamics and precise regulation; hence the need of direct control is becoming an urgent demand. This type of control provides an independent field oriented selfcontrolled of torque and current, which is similar to a separately excited synchronous motor and offers a number of attractive features. Synchronous motor has a high starting torque while separately s y n c h r o n o u s motor can operate above the base low speed in the line starting current [3]. This paper designs study and highlights the effectiveness of the proposed field oriented control methods for a line starting performance of synchronous motor model parameter, using artificial neural network methods both simulation and manufacturers measured experimental data. A steady state and transient analysis of the synchronous motor is performed below and above base line starting current.
format Conference or Workshop Item
author Birowo, Birowo
Ahmad, Robiah
Zamzuri, Hairi
Priyono, Agus
author_facet Birowo, Birowo
Ahmad, Robiah
Zamzuri, Hairi
Priyono, Agus
author_sort Birowo, Birowo
title Artificial neural network based controller for line starting performance synchronous motor of a conveyor system using field oriented self
title_short Artificial neural network based controller for line starting performance synchronous motor of a conveyor system using field oriented self
title_full Artificial neural network based controller for line starting performance synchronous motor of a conveyor system using field oriented self
title_fullStr Artificial neural network based controller for line starting performance synchronous motor of a conveyor system using field oriented self
title_full_unstemmed Artificial neural network based controller for line starting performance synchronous motor of a conveyor system using field oriented self
title_sort artificial neural network based controller for line starting performance synchronous motor of a conveyor system using field oriented self
publishDate 2015
url http://eprints.utm.my/id/eprint/62286/
http://conference.researchbib.com/view/event/45355
_version_ 1643655373034356736
score 13.211869

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