Artificial neural network based controller for line starting performance synchronous motor of a conveyor system using field oriented self-controlled
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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Institute of Electrical and Electronics Engineers Inc.
2016
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my.utm.730912017-11-22T12:07:32Z http://eprints.utm.my/id/eprint/73091/ Artificial neural network based controller for line starting performance synchronous motor of a conveyor system using field oriented self-controlled Birowo, Birowo Ahmad, R. Zamzuri, H. Priyono, A. T Technology (General) 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 park-clark 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 self-controlled 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 synchronous 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. Institute of Electrical and Electronics Engineers Inc. 2016 Conference or Workshop Item PeerReviewed Birowo, Birowo and Ahmad, R. and Zamzuri, H. and Priyono, A. (2016) Artificial neural network based controller for line starting performance synchronous motor of a conveyor system using field oriented self-controlled. In: 3rd IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2015, 24 November 2015 through 25 November 2015, Kuala Lumpur; Malaysia. https://www.scopus.com/inward/record.uri?eid=2-s2.0-84991108535&doi=10.1109%2fICSIMA.2015.7559013&partnerID=40&md5=b018886ee17b45276e713fd292c9eb30 |
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T Technology (General) Birowo, Birowo Ahmad, R. Zamzuri, H. Priyono, A. Artificial neural network based controller for line starting performance synchronous motor of a conveyor system using field oriented self-controlled |
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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 park-clark 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 self-controlled 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 synchronous 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. |
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Conference or Workshop Item |
author |
Birowo, Birowo Ahmad, R. Zamzuri, H. Priyono, A. |
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Birowo, Birowo Ahmad, R. Zamzuri, H. Priyono, A. |
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Birowo, Birowo |
title |
Artificial neural network based controller for line starting performance synchronous motor of a conveyor system using field oriented self-controlled |
title_short |
Artificial neural network based controller for line starting performance synchronous motor of a conveyor system using field oriented self-controlled |
title_full |
Artificial neural network based controller for line starting performance synchronous motor of a conveyor system using field oriented self-controlled |
title_fullStr |
Artificial neural network based controller for line starting performance synchronous motor of a conveyor system using field oriented self-controlled |
title_full_unstemmed |
Artificial neural network based controller for line starting performance synchronous motor of a conveyor system using field oriented self-controlled |
title_sort |
artificial neural network based controller for line starting performance synchronous motor of a conveyor system using field oriented self-controlled |
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Institute of Electrical and Electronics Engineers Inc. |
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2016 |
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http://eprints.utm.my/id/eprint/73091/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-84991108535&doi=10.1109%2fICSIMA.2015.7559013&partnerID=40&md5=b018886ee17b45276e713fd292c9eb30 |
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