Voltage tracking of a DC-DC buck converter using neural network control
This master report presents a voltage tracking of a neural network for dc-dc buck converter. The mathematical model of Buck converter and artificial neural network algorithm is derived. The dc-dc Buck converter is designed to tracking the output voltage with three variation. This master report c...
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English English English |
| Published: |
2012
|
| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/2274/ http://eprints.uthm.edu.my/2274/1/24p%20MOHAMAD%20ADHAR%20MOHAMAD%20NARSARDIN.pdf http://eprints.uthm.edu.my/2274/2/MOHAMAD%20ADHAR%20MOHAMAD%20NARSARDIN%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/2274/3/MOHAMAD%20ADHAR%20MOHAMAD%20NARSARDIN%20WATERMARK.pdf |
| _version_ | 1848887693862240256 |
|---|---|
| author | Mohamad Narsardin, Mohamad Adhar |
| author_facet | Mohamad Narsardin, Mohamad Adhar |
| author_sort | Mohamad Narsardin, Mohamad Adhar |
| building | UTHM Institutional Repository |
| collection | Online Access |
| description | This master report presents a voltage tracking of a neural network for dc-dc buck converter.
The mathematical model of Buck converter and artificial neural network algorithm is
derived. The dc-dc Buck converter is designed to tracking the output voltage with three
variation. This master report consists open loop control, closed loop control and neural
network control. The Buck converter has some advantages compare to the others type of dc
converter. However the nonlinearity of the dc-dc Buck converter characteristics, cause it is
difficult to handle by using conventional method such as open loop control system and close
loop control system like proportional-integral-differential (PID) controller. In order to
overcome this main problem, a neural network controller with online learning technique
based on back propagation algorithm is developed. The effectiveness of the proposed
method is verified by develop simulation model in MATLAB-Simulink program. The
simulation results show that the proposed neural network controller (NNC) produce
significant improvement control performance compare to the PID controller for both
condition for voltage tracking output for dc-dc Buck converter. |
| first_indexed | 2025-11-15T19:58:27Z |
| format | Thesis |
| id | uthm-2274 |
| institution | Universiti Tun Hussein Onn Malaysia |
| institution_category | Local University |
| language | English English English |
| last_indexed | 2025-11-15T19:58:27Z |
| publishDate | 2012 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | uthm-22742021-10-31T05:06:55Z http://eprints.uthm.edu.my/2274/ Voltage tracking of a DC-DC buck converter using neural network control Mohamad Narsardin, Mohamad Adhar TK Electrical engineering. Electronics Nuclear engineering TK7800-8360 Electronics This master report presents a voltage tracking of a neural network for dc-dc buck converter. The mathematical model of Buck converter and artificial neural network algorithm is derived. The dc-dc Buck converter is designed to tracking the output voltage with three variation. This master report consists open loop control, closed loop control and neural network control. The Buck converter has some advantages compare to the others type of dc converter. However the nonlinearity of the dc-dc Buck converter characteristics, cause it is difficult to handle by using conventional method such as open loop control system and close loop control system like proportional-integral-differential (PID) controller. In order to overcome this main problem, a neural network controller with online learning technique based on back propagation algorithm is developed. The effectiveness of the proposed method is verified by develop simulation model in MATLAB-Simulink program. The simulation results show that the proposed neural network controller (NNC) produce significant improvement control performance compare to the PID controller for both condition for voltage tracking output for dc-dc Buck converter. 2012-06 Thesis NonPeerReviewed text en http://eprints.uthm.edu.my/2274/1/24p%20MOHAMAD%20ADHAR%20MOHAMAD%20NARSARDIN.pdf text en http://eprints.uthm.edu.my/2274/2/MOHAMAD%20ADHAR%20MOHAMAD%20NARSARDIN%20COPYRIGHT%20DECLARATION.pdf text en http://eprints.uthm.edu.my/2274/3/MOHAMAD%20ADHAR%20MOHAMAD%20NARSARDIN%20WATERMARK.pdf Mohamad Narsardin, Mohamad Adhar (2012) Voltage tracking of a DC-DC buck converter using neural network control. Masters thesis, Universiti Tun Hussein Onn Malaysia. |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering TK7800-8360 Electronics Mohamad Narsardin, Mohamad Adhar Voltage tracking of a DC-DC buck converter using neural network control |
| title | Voltage tracking of a DC-DC buck converter using neural network control |
| title_full | Voltage tracking of a DC-DC buck converter using neural network control |
| title_fullStr | Voltage tracking of a DC-DC buck converter using neural network control |
| title_full_unstemmed | Voltage tracking of a DC-DC buck converter using neural network control |
| title_short | Voltage tracking of a DC-DC buck converter using neural network control |
| title_sort | voltage tracking of a dc-dc buck converter using neural network control |
| topic | TK Electrical engineering. Electronics Nuclear engineering TK7800-8360 Electronics |
| url | http://eprints.uthm.edu.my/2274/ http://eprints.uthm.edu.my/2274/1/24p%20MOHAMAD%20ADHAR%20MOHAMAD%20NARSARDIN.pdf http://eprints.uthm.edu.my/2274/2/MOHAMAD%20ADHAR%20MOHAMAD%20NARSARDIN%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/2274/3/MOHAMAD%20ADHAR%20MOHAMAD%20NARSARDIN%20WATERMARK.pdf |