DocumentCode :
2048446
Title :
Neuro-fuzzy control system for active filter with load adaptation
Author :
Husev, Oleksandr ; Ivanets, Sergey ; Vinnikov, Dmitri
Author_Institution :
Chernihiv State Technol. Univ., Ukraine
fYear :
2011
fDate :
1-3 June 2011
Firstpage :
28
Lastpage :
33
Abstract :
The paper proposes a neuro-fuzzy regulator based control system for parallel active filters, which allows for adaptation of the control mode to changes in the amplitude and spectral composition of the load current. The efficiency of this control system in terms of reactive power compensation quality in the network is demonstrated in a simulation. The main advantage of the proposed control system is in the possibility of its implementation without changes in the compensator circuitry and the switch modulation frequency.
Keywords :
active filters; electric current control; fuzzy control; neurocontrollers; nonlinear control systems; power filters; power supply quality; reactive power control; voltage control; amplitude composition; compensator circuit; load adaptation; load current; neuro-fuzzy control system; neuro-fuzzy regulator; parallel active filter; spectral composition; switch modulation frequency; Active filters; Capacitors; Reactive power; Regulators; Switches; Voltage control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Compatibility and Power Electronics (CPE), 2011 7th International Conference-Workshop
Conference_Location :
Tallinn
Print_ISBN :
978-1-4244-8806-3
Electronic_ISBN :
978-1-4244-8805-6
Type :
conf
DOI :
10.1109/CPE.2011.5942202
Filename :
5942202
Link To Document :
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