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Öğe Design and implementation of an improved sinusoidal controller for a two-phase enhanced impedance source boost inverter(Pergamon-Elsevier Science Ltd, 2020) Ghaderi, Davood; Padmanaban, Sanjeevikumar; Maroti, Pandav Kiran; Papari, Behnaz; Holm-Nielsen, Jens BoThis study presents a novel Sinusoidal Pulse Width Modulation (SPWM) model for a two-phase Impedance Source-based Inverter (ZSI) with a hardware prototype implementation. The high-gain feature is investigated based on an innovative mathematical model that involves fewer components and presents efficient performances. The presented topology can be applied broadly in Photo Voltaic systems, Wind Power, Fuel Cell, and Uninterrupted Power Supply topologies due to the ability of wide-range load regulation with higher duty cycles. Through Shoot (TS) and higher Total Harmonic Distortion (THD) problems can be solved by a carefully designed gate-drive circuit and proper switching frequency for the appropriate resistance against the Electromagnetic Interfaces (EMIs). One of the essential specifications of the proposed controller is working with intermediate values of duty cycles for power MOSFETs that can decrease the losses for the inverter. A set of numerical simulation and hardware results are presented for ensuring the proposed claims. (C) 2020 Elsevier Ltd. All rights reserved.Öğe Genetic algorithm based reference current control extraction based shunt active power filter(Wiley, 2020) Sundaram, Elango; Gunasekaran, Manavaalan; Krishnan, Ramakrishnan; Padmanaban, Sanjeevikumar; Chenniappan, Sharmeela; Ertaş, Ahmet HanifiTraditional approaches towards proportional-integral (PI) controller tuning often fail to provide optimum gain values in situations where shunt active power filter (SAPF) is connected to systems containing complex, dynamic, and nonlinear loads. Optimum gain values are, however, crucial in the generation of compensating currents with less transient and steady-state error, that would nullify the harmonic currents in a short time. This work proposes two soft computing techniques, genetic algorithm (GA) and Queen Bee assisted GA (QBGA) for better controller tuning to obtain optimum gain values to switch SAPF. These algorithms are used in local search technique mode to arrive at the optimal solutions based on the desired characteristics. The PI controller controls the voltage of the DC capacitor to generate the required compensating current. The proposed algorithms are practical since reliable solutions are obtained with a limited number of iterations. Implementation of the suggested algorithm reduces the THD of supply current to less than 5%, in compliance with IEEE-519 standards. The system performance is evaluated through MATLAB simulation tool. Suitable hardware model is also developed and tested for validating the simulation results. The hardware results are found in close agreement with simulation results. The highlight of this work is the introduction of QBGA algorithm as a novel technique for tuning of PI controller for SAPF.