DocumentCode :
3126021
Title :
Predictive fuzzy filtering for line frequency signal processing
Author :
Gao, X.Z. ; Ovaska, S.J.
Author_Institution :
Inst. of Intelligent Power Electron., Helsinki Univ. of Technol., Espoo, Finland
Volume :
7
fYear :
2002
fDate :
6-9 Oct. 2002
Abstract :
Prediction of sinusoidal signals with time. varying frequencies has been an important research topic in power electronics systems. To solve this problem, we propose a new fuzzy predictive filtering scheme, which is based on a Finite Impulse Response (FIR) filter bank. Fuzzy logic is introduced here to provide appropriate interpolation of individual filter outputs. Therefore, instead of regular ´hard´ switching, our method has the advantageous ´soft´ switching among different filters. Simulation comparisons between the fuzzy predictive filtering and conventional filter bank-based approach are made to demonstrate that the new scheme can achieve an enhanced prediction performance for slowly changing sinusoidal input signals.
Keywords :
FIR filters; fuzzy logic; interpolation; predictive control; signal processing; time-varying systems; finite impulse response filter bank; fuzzy logic; interpolation; line frequency signal processing; power electronics systems; predictive fuzzy filtering; simulation comparison; sinusoidal signals prediction; time varying frequencies; Filter bank; Filtering; Finite impulse response filter; Frequency; Fuzzy logic; Power electronics; Power system simulation; Signal processing; Time varying systems; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2002 IEEE International Conference on
ISSN :
1062-922X
Print_ISBN :
0-7803-7437-1
Type :
conf
DOI :
10.1109/ICSMC.2002.1175698
Filename :
1175698
Link To Document :
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