Experimental modeling and control design of shunt active power filters
Control Engineering Practice, ISSN: 0967-0661, Vol: 17, Issue: 10, Page: 1126-1135
2009
- 28Citations
- 31Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Article Description
One of the main issues when designing a control strategy for a power electronic system is the development of a reliable model of the real system. However, the evaluation of the actual plant parameters is difficult due to the mismatch between nameplate and actual values of components, and the presence of unmodeled dynamics and non-linearities. This paper presents a novel technique for both model parameters identification and optimized control design of a shunt active power filter system using genetic algorithms (GAs). Experimental results demonstrate that the proposed modeling and control design approach greatly improve the system performance.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0967066109000574; http://dx.doi.org/10.1016/j.conengprac.2009.03.007; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=68749090844&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S0967066109000574; https://api.elsevier.com/content/article/PII:S0967066109000574?httpAccept=text/xml; https://api.elsevier.com/content/article/PII:S0967066109000574?httpAccept=text/plain; https://dx.doi.org/10.1016/j.conengprac.2009.03.007
Elsevier BV
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