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Information Technology Journal
  Year: 2013 | Volume: 12 | Issue: 4 | Page No.: 664-671
DOI: 10.3923/itj.2013.664.671
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Study on Voltage-stabilizing Control of ICPT System

Yuanfu Wu, Yue Sun, Yong Tian, Fangxun Yang and Yugang Su

As nonlinear switch unit leads to higher-order switch nonlinear behavior, it is difficult to build an accurately model and control the output voltage of the ICPT system. To address this problem, this study presents a neural network-based control strategy to stabilize the secondary output voltage. This strategy makes full use of the nonlinear function approximation of the neural network. To converge the neural network, a multi-layered feedforward neural network based on back-propagation algorithm has been designed via learning train samples. Besides, to ensure the stability of output power, the neural network controller has been employed to stabilize the secondary output voltage by regulating the input voltage. Finally, simulations and experimental results have verified that this control strategy is feasible.
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How to cite this article:

Yuanfu Wu, Yue Sun, Yong Tian, Fangxun Yang and Yugang Su, 2013. Study on Voltage-stabilizing Control of ICPT System. Information Technology Journal, 12: 664-671.

DOI: 10.3923/itj.2013.664.671






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