| dc.contributor.author | Bett, N.K. | |
| dc.date.accessioned | 2015-11-25T08:08:00Z | |
| dc.date.available | 2015-11-25T08:08:00Z | |
| dc.date.issued | 2015-11-25 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/69 | |
| dc.identifier.uri | https://www.semanticscholar.org/paper/Adaptive-Neuro-fuzzy-Inference-system-based-contro-Bett/687c04f38868a6400f69eae6ad576c140a4689c2 | |
| dc.description.abstract | This paper presents a three-phase hybrid powerfilter based on artificial intelligence control approach. It consists of C- type passive filter in parallel with a shunt active filter that is controlled by an adaptive Neuro-Fuzzy inference
system (ANFIS) controller. The active filter is based on a three -phase voltage inverter with six control switches. The AC side of the filter is connected in parallel with the nonlinear load through an interface reactor, while the DC side
connected to a DC -link capacitor. The system will estimate harmonic content in the source current, produced by nonlinear load and generate reference waveform for control voltage source inverter. This paper describes circuit topology, control strategy, C -type high -pass filter, compensation current reference estimation and generation of gating signals. ANFIS controlled three - phase hybrid power filter is modeled under MATLAB/Simulink environment. The results show this kind of filter has a better harmonic compensation in utility
current of three -phase three wire system | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | nternational Journal of Emerging Technology and Advanced Engineering | en_US |
| dc.title | Adaptive Neuro - fuzzy Inference system based control of three - phase hybrid power filter for harmonic mitigation | en_US |
| dc.type | Article | en_US |
