Online learning neural network control of buck-boost converter
This paper proposes a neural network control scheme of a DC-DC buck-boost converter using online learning method. In this technique, a back propagation algorithm is derived. The controller is designed to stabilize the output voltage of the DC-DC converter and to improve performance of the Buck-Boost...
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| Main Authors: | , , , , |
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| 格式: | Conference or Workshop Item |
| 出版: |
2011
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| 主题: | |
| 在线阅读: | http://eprints.uthm.edu.my/6065/ http://eprints.uthm.edu.my/6065/1/Online_Learning_Neural_Network_Control.pdf |
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| 总结: | This paper proposes a neural network control
scheme of a DC-DC buck-boost converter using online learning
method. In this technique, a back propagation algorithm is
derived. The controller is designed to stabilize the output
voltage of the DC-DC converter and to improve performance
of the Buck-Boost converter during transient operations.
Furthermore, to investigate the effectiveness of the proposed
controller, some operations such as starting-up and reference
voltage variations are verified. The numerical simulation
results show that the proposed controller has a better
performance compare to the conventional PI-Controller
method. |
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