Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12540/242
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dc.contributor.authorBalasubramaniam, P. M.en_US
dc.contributor.authorSudhakar, S.en_US
dc.contributor.authorKrishnamoorthy, Sujathaen_US
dc.contributor.authorSriram, V. P.en_US
dc.contributor.authorDhanaraj, S.en_US
dc.contributor.authorSubramaniyaswamy, V.en_US
dc.date.accessioned2020-11-13T07:29:26Z-
dc.date.available2020-11-13T07:29:26Z-
dc.date.issued2020-
dc.identifier.citationBalasubramaniam, P. M., Sudhakar, S., Krishnamoorthy, S., Sriram, V. P., Dhanaraj, S., & Subramaniyaswamy, V. (2020). Investigation and strategy of intelligent controller (ACBIC) for DC link control in SAPF system for industrial power systems. Journal of Discrete Mathematical Sciences and Cryptography, 1-17.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12540/242-
dc.descriptionPlease note that preprint copy is not available on WIRE. Please contact wire@wku.edu.cn to request an electronic copy of this item.en_US
dc.description.abstractThis article describes the design of the ant colony based fuzzy controller for shunt active power filter is to mitigating harmonics, which is injected by nonlinear loads such as thyristor and rectifies loads. Principally, The design of an ant colony based intelligent controller (ACBIC) designed according to Fuzzy rules, so the system is robust. The optimized membership function and gain of the controller are normalized by the ant colony algorithm and the fine-tuning of the associated activities and stabilization advantages achieved with Ant Colony Optimization (ACO). The simulation results presented and model outcomes demonstrate the best dynamic performance and control operation compared with the classical PI Controller. The optimized PI controller gives a better performance during the high transient time, and it minimizes the settling time. Also, the controller bringing down the harmonics and maintains a good quality of power.en_US
dc.format.extent1 pageen_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoengen_US
dc.publisherTaylor & Francis Groupen_US
dc.relation.ispartofJournal of Discrete Mathematical Sciences and Cryptographyen_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/-
dc.titleInvestigation and strategy of intelligent controller (ACBIC) for DC link control in SAPF system for industrial power systemsen_US
dc.typeArticleen_US
dc.rights.licenseAttribution-NonCommercial 4.0 International (CC BY-NC 4.0)en_US
dc.identifier.doi10.1080/09720529.2019.1668145-
dc.subject.keywordsAnt Colony Algorithmen_US
dc.subject.keywordsShunt Active Power Filteren_US
dc.subject.keywordsFuzzy Logic Controlleren_US
dc.subject.keywordsPI Controlleren_US
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