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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