Voltage tracking of DC-DC CUK converter using neural network control
This paper presents a control scheme of a neural network for a DC-DC Cuk converter. The proposed neural network control (NNC) strategy is designed to produce regulated variable DC output voltage. The mathematical model of Cuk converter and artificial neural network algorithm is derived. Cuk co...
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| Format: | Thesis |
| Language: | English English English |
| Published: |
2012
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| Online Access: | http://eprints.uthm.edu.my/2275/ http://eprints.uthm.edu.my/2275/1/24p%20MOHAMED%20NOOR%20AZMAN%20BIDIN.pdf http://eprints.uthm.edu.my/2275/2/MOHAMED%20NOOR%20AZMAN%20BIDIN%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/2275/3/MOHAMED%20NOOR%20AZMAN%20BIDIN%20WATERMARK.pdf |
| _version_ | 1848887694539620352 |
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| author | Bidin, Mohamed Noor Azman |
| author_facet | Bidin, Mohamed Noor Azman |
| author_sort | Bidin, Mohamed Noor Azman |
| building | UTHM Institutional Repository |
| collection | Online Access |
| description | This paper presents a control scheme of a neural network for a DC-DC Cuk converter.
The proposed neural network control (NNC) strategy is designed to produce regulated
variable DC output voltage. The mathematical model of Cuk converter and artificial
neural network algorithm is derived. Cuk converter has some advantages compared to
other type of converters. However the nonlinearity characteristic of the Cuk converter
due to the switching technique is difficult to be handled by conventional controller such
as proportional-integral-derivative (PID) controller. To overcome this problem, a neural
network controller with online learning back propagation algorithm is developed. The
NNC designed tracked the converter voltage output and improve the dynamic
performance regardless load disturbances and supply variations. The proposed
controller effectiveness during dynamic transient response is then analyze and verified
using MATLAB-Simulink. Simulation results confirm the excellent performance of the
proposed NNC, exhibits better dynamic performance compared to the classical PID
controller |
| first_indexed | 2025-11-15T19:58:27Z |
| format | Thesis |
| id | uthm-2275 |
| 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-22752021-10-31T05:07:15Z http://eprints.uthm.edu.my/2275/ Voltage tracking of DC-DC CUK converter using neural network control Bidin, Mohamed Noor Azman TK Electrical engineering. Electronics Nuclear engineering TK7800-8360 Electronics This paper presents a control scheme of a neural network for a DC-DC Cuk converter. The proposed neural network control (NNC) strategy is designed to produce regulated variable DC output voltage. The mathematical model of Cuk converter and artificial neural network algorithm is derived. Cuk converter has some advantages compared to other type of converters. However the nonlinearity characteristic of the Cuk converter due to the switching technique is difficult to be handled by conventional controller such as proportional-integral-derivative (PID) controller. To overcome this problem, a neural network controller with online learning back propagation algorithm is developed. The NNC designed tracked the converter voltage output and improve the dynamic performance regardless load disturbances and supply variations. The proposed controller effectiveness during dynamic transient response is then analyze and verified using MATLAB-Simulink. Simulation results confirm the excellent performance of the proposed NNC, exhibits better dynamic performance compared to the classical PID controller 2012-07 Thesis NonPeerReviewed text en http://eprints.uthm.edu.my/2275/1/24p%20MOHAMED%20NOOR%20AZMAN%20BIDIN.pdf text en http://eprints.uthm.edu.my/2275/2/MOHAMED%20NOOR%20AZMAN%20BIDIN%20COPYRIGHT%20DECLARATION.pdf text en http://eprints.uthm.edu.my/2275/3/MOHAMED%20NOOR%20AZMAN%20BIDIN%20WATERMARK.pdf Bidin, Mohamed Noor Azman (2012) Voltage tracking of DC-DC CUK converter using neural network control. Masters thesis, Universiti Tun Hussein Onn Malaysia. |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering TK7800-8360 Electronics Bidin, Mohamed Noor Azman Voltage tracking of DC-DC CUK converter using neural network control |
| title | Voltage tracking of DC-DC CUK converter using neural network control |
| title_full | Voltage tracking of DC-DC CUK converter using neural network control |
| title_fullStr | Voltage tracking of DC-DC CUK converter using neural network control |
| title_full_unstemmed | Voltage tracking of DC-DC CUK converter using neural network control |
| title_short | Voltage tracking of DC-DC CUK converter using neural network control |
| title_sort | voltage tracking of dc-dc cuk converter using neural network control |
| topic | TK Electrical engineering. Electronics Nuclear engineering TK7800-8360 Electronics |
| url | http://eprints.uthm.edu.my/2275/ http://eprints.uthm.edu.my/2275/1/24p%20MOHAMED%20NOOR%20AZMAN%20BIDIN.pdf http://eprints.uthm.edu.my/2275/2/MOHAMED%20NOOR%20AZMAN%20BIDIN%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/2275/3/MOHAMED%20NOOR%20AZMAN%20BIDIN%20WATERMARK.pdf |