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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| Main Author: | |
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| Format: | Thesis |
| Language: | English English English |
| Published: |
2012
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| Subjects: | |
| Online Access: | 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 |
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| Summary: | 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 |
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