Please use this identifier to cite or link to this item: https://idr.l1.nitk.ac.in/jspui/handle/123456789/8705
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dc.contributor.authorGudimindla, H.
dc.contributor.authorManjunatha, Sharma, K.
dc.date.accessioned2020-03-30T10:22:36Z-
dc.date.available2020-03-30T10:22:36Z-
dc.date.issued2018
dc.identifier.citation2018 International Conference on Emerging Trends and Innovations In Engineering And Technological Research, ICETIETR 2018, 2018, Vol., , pp.-en_US
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/8705-
dc.description.abstractRobust controller design for photovoltaicconverters (PVC) has received considerable critical attention due to solar panels operated under uncertain environmental circumstances. This paper presents automated loop-shaping based robust controller design for PVC voltage regulation with the aid of quantitative feedback theory (QFT) using Genetic algorithm. The step by step design guidelines for the automated QFT (AQFT) robust controller is deliberated in detail. The proposed AQFT controller exhibits decreasing modular plot, descending phase response and nearer to the universal bound to replicate the controller ideal characteristics. Finally, benchmarking of the proposed controller with affine parameterization design method available in the literature is performed through simulations. � 2018 IEEE.en_US
dc.titlePerformance analysis of automated quantitative feedback theory based robust controller for photovoltaic converteren_US
dc.typeBook chapteren_US
Appears in Collections:2. Conference Papers

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