Speed control of separately excited dc motor using artificial intelligent approach
This paper presents the ability of Artificial Intelligent Neural Network ANNs for the separately excited dc motor drives. The mathematical model of the motor and neural network algorithm is derived. The controller consists two parts which is designed to estimate of motor speed and the other is...
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| Format: | Thesis |
| Language: | English English |
| Published: |
2013
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| Online Access: | http://eprints.uthm.edu.my/1886/1/24p%20ALBINUS%20BERNARD.pdf http://eprints.uthm.edu.my/1886/2/ALBINUS%20BERNARD%20WATERMARK.pdf |
| _version_ | 1825709621573058560 |
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| author | Bernard, Albinus |
| author_facet | Bernard, Albinus |
| author_sort | Bernard, Albinus |
| collection | UTHM |
| description | This paper presents the ability of Artificial Intelligent Neural Network ANNs for the
separately excited dc motor drives. The mathematical model of the motor and neural
network algorithm is derived. The controller consists two parts which is designed to
estimate of motor speed and the other is which to generate a control signal for a
converter. The separately excited dc motor has some advantages compare to the
others type of motors and there are some special qualities that have in ANNs and
because of that, ANNs can be trained to display the nonlinear relationship that the
conventional tools could not implemented such as proportional-integral-differential
(PID) controller. A neural network controller with learning technique based on back
propagation algorithm is developed. These two neural are training by Levenberg�Marquardt. The effectiveness of the proposed method is verified by develop
simulation model in MATLAB-Simulink program. The simulation results are
presented to demonstrate the effectiveness and the proposed of this neural network
controller produce significant improvement control performance and advantages of
the control system DC motor with ANNs in comparison to the conventional
controller without using ANNs. |
| first_indexed | 2024-03-05T21:41:21Z |
| format | Thesis |
| id | uthm.eprints-1886 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | English English |
| last_indexed | 2024-03-05T21:41:21Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | uthm.eprints-18862021-10-12T04:26:01Z http://eprints.uthm.edu.my/1886/ Speed control of separately excited dc motor using artificial intelligent approach Bernard, Albinus TK2000-2891 Dynamoelectric machinery and auxiliaries. Including generators, motors, transformers This paper presents the ability of Artificial Intelligent Neural Network ANNs for the separately excited dc motor drives. The mathematical model of the motor and neural network algorithm is derived. The controller consists two parts which is designed to estimate of motor speed and the other is which to generate a control signal for a converter. The separately excited dc motor has some advantages compare to the others type of motors and there are some special qualities that have in ANNs and because of that, ANNs can be trained to display the nonlinear relationship that the conventional tools could not implemented such as proportional-integral-differential (PID) controller. A neural network controller with learning technique based on back propagation algorithm is developed. These two neural are training by Levenberg�Marquardt. The effectiveness of the proposed method is verified by develop simulation model in MATLAB-Simulink program. The simulation results are presented to demonstrate the effectiveness and the proposed of this neural network controller produce significant improvement control performance and advantages of the control system DC motor with ANNs in comparison to the conventional controller without using ANNs. 2013-01 Thesis NonPeerReviewed text en http://eprints.uthm.edu.my/1886/1/24p%20ALBINUS%20BERNARD.pdf text en http://eprints.uthm.edu.my/1886/2/ALBINUS%20BERNARD%20WATERMARK.pdf Bernard, Albinus (2013) Speed control of separately excited dc motor using artificial intelligent approach. Masters thesis, Universiti Tun Hussein Onn Malaysia. |
| spellingShingle | TK2000-2891 Dynamoelectric machinery and auxiliaries. Including generators, motors, transformers Bernard, Albinus Speed control of separately excited dc motor using artificial intelligent approach |
| title | Speed control of separately excited dc motor using artificial intelligent approach |
| title_full | Speed control of separately excited dc motor using artificial intelligent approach |
| title_fullStr | Speed control of separately excited dc motor using artificial intelligent approach |
| title_full_unstemmed | Speed control of separately excited dc motor using artificial intelligent approach |
| title_short | Speed control of separately excited dc motor using artificial intelligent approach |
| title_sort | speed control of separately excited dc motor using artificial intelligent approach |
| topic | TK2000-2891 Dynamoelectric machinery and auxiliaries. Including generators, motors, transformers |
| url | http://eprints.uthm.edu.my/1886/1/24p%20ALBINUS%20BERNARD.pdf http://eprints.uthm.edu.my/1886/2/ALBINUS%20BERNARD%20WATERMARK.pdf |
| work_keys_str_mv | AT bernardalbinus speedcontrolofseparatelyexciteddcmotorusingartificialintelligentapproach |