DocumentCode :
2345519
Title :
Neural network based detection in switched capacitor filter for harmonic mitigation
Author :
Radzi, M. A M ; Rahim, N.A.
Author_Institution :
Dept. of Electr. Eng., Univ. of Malaya, Kuala Lumpur
fYear :
2008
fDate :
3-5 June 2008
Firstpage :
1481
Lastpage :
1486
Abstract :
In this paper, neural network technique used in digital based control for switched capacitor filter (SCF) is proposed. The SCF is an alternative tool to mitigate harmonic distortion in the AC supply system as it has only small capacitor size and low switching frequency. Harmonic detection by using neural network technique is developed to determine harmonic component and hysteresis control is used to generate compensated current. The digital signal processor (DSP) is used to implement digital based control. Simulation and experimental work is carried out to evaluate its control performance. The results show the ability of this technique to achieve desirable harmonic mitigation.
Keywords :
harmonic distortion; neurocontrollers; power harmonic filters; switched capacitor filters; AC supply system; DSP; digital based control; digital signal processor; harmonic distortion; harmonic mitigation; neural network; switched capacitor filter; switching frequency; Digital control; Digital filters; Digital signal processing; Digital signal processors; Harmonic distortion; Hysteresis; Neural networks; Power harmonic filters; Switched capacitor networks; Switching frequency;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics and Applications, 2008. ICIEA 2008. 3rd IEEE Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-1717-9
Electronic_ISBN :
978-1-4244-1718-6
Type :
conf
DOI :
10.1109/ICIEA.2008.4582765
Filename :
4582765
Link To Document :
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