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