Enhance Cascaded H-Bridge Multilevel Inverter with Artificial Intelligence Control
This paper proposed a 7-level Cascaded H-Bridge Multilevel Inverter (CHBMI) with two diffenrent controller, ie, PID and Artificial Neural Network (ANN) controller to improve the output voltage performance and achieve a lower Total Harmonic Distortion (THD). A PWM generator is connected to the 7-leve...
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institute of advanced engineering and science
2018
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| Online Access: | http://ir.unimas.my/id/eprint/20513/7/Enhance%20Cascaded%20H-Bridge%20Multilevel%20Inverter%20%28abstract%29.pdf http://ir.unimas.my/id/eprint/20513/ http://www.iaescore.com/journals/index.php/IJEECS/index http://doi.org/10.11591/ijeecs.v11.i1.pp%25p |
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my.unimas.ir.205132019-06-20T07:14:29Z http://ir.unimas.my/id/eprint/20513/ Enhance Cascaded H-Bridge Multilevel Inverter with Artificial Intelligence Control Buswig, Yonis.M.Yonis Sim, S.Y. Chia, C.K Utomo, W.M Goh, H.H. Lim, A.J.M.S. Kek, S.L. Bohari, A. Cham, C.L TK Electrical engineering. Electronics Nuclear engineering This paper proposed a 7-level Cascaded H-Bridge Multilevel Inverter (CHBMI) with two diffenrent controller, ie, PID and Artificial Neural Network (ANN) controller to improve the output voltage performance and achieve a lower Total Harmonic Distortion (THD). A PWM generator is connected to the 7-level CHBMI to provide switching of the MOSFET. The reference signal waveform for the PWM generator is set to be sinusoidal to obtain an ideal AC output voltage waveform from the CHBMI. By tuning the PID controller as well as the self-learning abilities of the ANN controller, switching signals towards the CHBMI can be improved. Simulation results from the general CHBMI together with the proposed PID and ANN controller based 7-level CHBMI models will be compared and discussed to verify the proposed ANN controller based 7-level CHBMI achieved a lower output voltage THD value with a better sinusoidal output performance institute of advanced engineering and science 2018-07 E-Article PeerReviewed text en http://ir.unimas.my/id/eprint/20513/7/Enhance%20Cascaded%20H-Bridge%20Multilevel%20Inverter%20%28abstract%29.pdf Buswig, Yonis.M.Yonis and Sim, S.Y. and Chia, C.K and Utomo, W.M and Goh, H.H. and Lim, A.J.M.S. and Kek, S.L. and Bohari, A. and Cham, C.L (2018) Enhance Cascaded H-Bridge Multilevel Inverter with Artificial Intelligence Control. Enhance Cascaded H-Bridge Multilevel Inverter with Artificial Intelligence Control, 11 (1). pp. 105-112. ISSN 2502-4752 http://www.iaescore.com/journals/index.php/IJEECS/index http://doi.org/10.11591/ijeecs.v11.i1.pp%25p |
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TK Electrical engineering. Electronics Nuclear engineering |
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TK Electrical engineering. Electronics Nuclear engineering Buswig, Yonis.M.Yonis Sim, S.Y. Chia, C.K Utomo, W.M Goh, H.H. Lim, A.J.M.S. Kek, S.L. Bohari, A. Cham, C.L Enhance Cascaded H-Bridge Multilevel Inverter with Artificial Intelligence Control |
| description |
This paper proposed a 7-level Cascaded H-Bridge Multilevel Inverter (CHBMI) with two diffenrent controller, ie, PID and Artificial Neural Network (ANN) controller to improve the output voltage performance and achieve a lower Total Harmonic Distortion (THD). A PWM generator is connected to the 7-level CHBMI to provide switching of the MOSFET. The reference signal waveform for the PWM generator is set to be sinusoidal to obtain an ideal AC output voltage waveform from the CHBMI. By tuning the PID controller as well as the self-learning abilities of the ANN controller, switching signals towards the CHBMI can be improved. Simulation results
from the general CHBMI together with the proposed PID and ANN controller based 7-level CHBMI models will be compared and discussed to verify the proposed ANN controller based 7-level CHBMI achieved a lower output voltage THD value with a better sinusoidal output performance |
| format |
E-Article |
| author |
Buswig, Yonis.M.Yonis Sim, S.Y. Chia, C.K Utomo, W.M Goh, H.H. Lim, A.J.M.S. Kek, S.L. Bohari, A. Cham, C.L |
| author_facet |
Buswig, Yonis.M.Yonis Sim, S.Y. Chia, C.K Utomo, W.M Goh, H.H. Lim, A.J.M.S. Kek, S.L. Bohari, A. Cham, C.L |
| author_sort |
Buswig, Yonis.M.Yonis |
| title |
Enhance Cascaded H-Bridge Multilevel Inverter with Artificial Intelligence Control |
| title_short |
Enhance Cascaded H-Bridge Multilevel Inverter with Artificial Intelligence Control |
| title_full |
Enhance Cascaded H-Bridge Multilevel Inverter with Artificial Intelligence Control |
| title_fullStr |
Enhance Cascaded H-Bridge Multilevel Inverter with Artificial Intelligence Control |
| title_full_unstemmed |
Enhance Cascaded H-Bridge Multilevel Inverter with Artificial Intelligence Control |
| title_sort |
enhance cascaded h-bridge multilevel inverter with artificial intelligence control |
| publisher |
institute of advanced engineering and science |
| publishDate |
2018 |
| url |
http://ir.unimas.my/id/eprint/20513/7/Enhance%20Cascaded%20H-Bridge%20Multilevel%20Inverter%20%28abstract%29.pdf http://ir.unimas.my/id/eprint/20513/ http://www.iaescore.com/journals/index.php/IJEECS/index http://doi.org/10.11591/ijeecs.v11.i1.pp%25p |
| _version_ |
1644513288487174144 |
| score |
13.211869 |