2021
DOI: 10.1142/s0218126621501802
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Hybrid Energy Source Fed Fuzzy-Based SVPWM for 5-Level NPC Inverter with Grid Connected System

Abstract: This paper presents the fuzzy-based Space Vector Pulse Width Modulation (SVPWM) for 5-level Neutral Point Clamped inverter with hybrid energy source fed grid connected system. The proposed scheme is energized using Photovoltaic and Wind energy system combination. The Neural Network-(NN) based Maximum Power Point Tracking algorithm (MPPT) has been implemented to track maximum power under different operating conditions. First, we proposed fuzzy-based SVPWM, which is developed for 5-level NPC inverter to provide… Show more

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Cited by 4 publications
(1 citation statement)
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“…This system contains frictional losses and also an offset can be seen but if replaced with electronic system it will get a feedback system and the least count (L.C) of 1/10th of a micron which is very small as an offset [15]. The mechanical gears and nuts can be replaced by industrial grade servo's and an electronic feedback system which takes an Analog input from the steering wheel find the angle of the steering wheel and using the Ackermann's geometry we can find out the angle of rotation of 1433 the wheel and also the radius or curvature of turning for the car and the individual wheels [16]- [18]. The Figure 1 shows the Ackerman steering positioning.…”
Section: Introductionmentioning
confidence: 99%
“…This system contains frictional losses and also an offset can be seen but if replaced with electronic system it will get a feedback system and the least count (L.C) of 1/10th of a micron which is very small as an offset [15]. The mechanical gears and nuts can be replaced by industrial grade servo's and an electronic feedback system which takes an Analog input from the steering wheel find the angle of the steering wheel and using the Ackermann's geometry we can find out the angle of rotation of 1433 the wheel and also the radius or curvature of turning for the car and the individual wheels [16]- [18]. The Figure 1 shows the Ackerman steering positioning.…”
Section: Introductionmentioning
confidence: 99%