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Design of ANN (artificial neural networks)-fast backpropagation algorithm gain scheduling controller of active filtering

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3 Author(s)
Gulez, K. ; Dept. of Electron. Syst. Eng., Tokyo Metropolitan Inst. of Technol., Japan ; Watanabe, H. ; Harashima, F.

The application of ANN (artificial neural networks) to active circuitry to increase the performance per size, prevent dependency on some parameters of electromagnetic interference (EMI) filter and determine the circuit gain directly are considered. The major problems are power line frequency rejection and the compensation of the feedback loop, which is influenced by the wide-ranging utility impedance. While analysis and simulations show, in the literature, that these problems prevent the practical application of active filtering to power supplies especially at less than 100 kHz, the approximation easily demonstrates a good promise to ensure the design of the architecture of a gain scheduling controller by using ANN for active filtering

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TENCON 2000. Proceedings  (Volume:1 )

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