In power electronics study, there are frequently occasions that the frequency of the signal under monitoring is varying significantly during the measurement period. That creates a hugh problem to the conventional approach of spectrum analysis using Fast Fourier Transform. An obvious example is the measurement of the output of a Variable Voltage and Variable Frequency Converter during the motor acceleration/deceleration stages. In this paper, a solution using two Hopfield type Artificial Neural Networks (N-N) is being proposed. One NN is used to calculate the frequency of the signal whereas the other is used to estimate the magnitudes and phase angles of the spectra. The deceleration profile of Danfoss Variable Speed Drive (VSD) is used as an example to illustrate the usefulness and effectiveness of this approach.
|Number of pages||6|
|Journal||IEE Conference Publication|
|Publication status||Published - 1 Jan 1997|
|Event||Proceedings of the 1997 5th International Conference on Artificial Neural Networks - Cambridge, United Kingdom|
Duration: 7 Jul 1997 → 9 Jul 1997
ASJC Scopus subject areas
- Electrical and Electronic Engineering