Five-Level Inverter based Sequential Boost System using Fuzzy Logic Controller
Dwarakesh.K1, G. Prem Kumar2

1Dwarakesh.K, Assistant Professor, Department of Electrical and Electronics Engineering, Bharath University Institute of Higher Education and Research, Chennai (TamilNadu), India.

2G. Prem Kumar, Department of Executive Engineering, Tamil Nadu Electricity Board, Chennai (TamilNadu), India.

Manuscript received on 04 April 2019 | Revised Manuscript received on 11 April 2019 | Manuscript Published on 26 April 2019 | PP: 12-19 | Volume-8 Issue-6S April 2019 | Retrieval Number: F60130486S19/19©BEIESP

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Abstract: Contemporary growths in intelligent management ways has paved way to interlinking of PV initial Converter which stabilizes and interlinks it to drives which works based on Alternating Current. Sequential boost convertor and electrical converter find there purpose in interrelating natural energy source with drive based alternating current Induced Motors. Work carried out in this paper pacts with graphical system based results which is used to correct the harmonics and impurities present in the system resulting in improving the quality of the power in the resultant output. Using a sequential high efficient step up converter the output from the natural energy source will be improved significantly. The DC output of those series step up converters is set to the bridges of the series electrical converter. A sequential order of inverters arranged in five level order is used to produce the high improvement in Alternating current. Sequence converter implied in step up is analyzed using the induced motor as load. Un-interrupted monitoring of the system is carried out through the implementation of fuzzy logic controller. Corrections on the errors based on steady state are carried out using FLC. The simulated outcomes assure the difference in dynamic retort in terms of dropping time along with errors which occur due to steady state.

Keywords: DC to AC Converter, Boost Converter, PV System, Fuzzy Logic Controller (FLC).
Scope of the Article: Fuzzy Logic