Title : Voltage Controlled Multilevel Inverter by Using Intelligent Techniques

Type of Material: Thesis
Title: Voltage Controlled Multilevel Inverter by Using Intelligent Techniques
Researcher: Santhosh Kumar, T
Guide: Shanmugam, J
Department: Department of Electrical and Electronics Engineering
Publisher: Bharath University, Chennai
Place: Chennai
Year: 2022
Language: English
Subject: Engineering
Engineering and Technology
Engineering Electrical and Electronic
Electrical Engineering
Engineering and Technology
Dissertation/Thesis Note: PhD; Department of Electrical and Electronics Engineering, Bharath University, Chennai, Chennai; 2022; D17EE501
Fulltext: Shodhganga

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035__|a(IN-AhILN)th_455103
040__|aBHAU_600073|dIN-AhILN
041__|aeng
100__|aSanthosh Kumar, T|eResearcher
110__|aDepartment of Electrical and Electronics Engineering|bBharath University, Chennai|dChennai|ein|0U-0446
245__|aVoltage Controlled Multilevel Inverter by Using Intelligent Techniques
260__|aChennai|bBharath University, Chennai|c2022
300__|dDVD
502__|bPhD|cDepartment of Electrical and Electronics Engineering, Bharath University, Chennai, Chennai|d2022|oD17EE501
520__|aThe approach claims the usage of innovative payout tactics for series and shunt active power filters based on an unbiased evenly spaced 3 level clamped inverter. The system principally assesses the customary PI controller at which DC voltage is maintained perpetually and gating signals were often created for series and shunt Active Power Filters through the Power Reactive and Synchronous Reference Frame. The system is then implemented and investigated by the Fuzzy controller in order to improve the harmonic distortions by enacting the regulate diagrams. An PI and Mooted Fuzzy Sensor case evaluation is presented. Each task has been evolving on the enactment of ANN system that mostly acts to control the DC connection voltage of two processes, and thus enhances the power quality which itself is mainly due to sudden load changes. The ANN enforced uses the three-layer feed forward structure. In the work between PI, Fuzzy as well as ANN frames the comprehensive review is portrayed. The research explores the struc
650__|aElectrical Engineering|2UGC
650__|aEngineering and Technology|2AIU
653__|aEngineering
653__|aEngineering and Technology
653__|aEngineering Electrical and Electronic
700__|aShanmugam, J|eGuide
856__|uhttp://shodhganga.inflibnet.ac.in/handle/10603/395182|yShodhganga
905__|afromsg

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