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Model Predictive Control Technique of Voltage Source Inverter for Linear and Non Linear Load

Bansilal Bairwa, K A Manohar, Madan Murari, B S Sagar

20222022 IEEE 3rd Global Conference for Advancement in Technology (GCAT)17 citationsDOI

Abstract

This research work presents a non-conventional and effortless conversion of DC to AC voltage using a new method called Model Predictive Control which is also known as MPC with a LC Filter to reduce the harmonics in the waveforms for linear and non-linear loads using MATLAB Software. The Total Harmonic Distortion is very important in deciding the quality of the inverter output waveforms. The utilization of an Inverter with an output LC filter grants for the production of sinusoidal voltages with reduced harmonic distortion. The model predictive controller predicts the output voltages for all the feasible switching states produced by inverter. Then a cost function is utilized as a benchmark for choosing the switching state. The results show that the model predictive control method controls successfully the output voltage and performs very good when compared to conventional methods. The simulation results for balanced and unbalanced loads are performed using Matlab/Simulink tools, verifying the feasibility and good performance of the proposed control system.

Topics & Concepts

Control theory (sociology)Total harmonic distortionModel predictive controlInverterHarmonicsBenchmark (surveying)VoltageWaveformMATLABComputer scienceFilter (signal processing)HarmonicController (irrigation)EngineeringControl (management)Electrical engineeringAgronomyGeodesyGeographyOperating systemBiologyComputer visionArtificial intelligencePhysicsQuantum mechanicsMultilevel Inverters and ConvertersAdvanced DC-DC ConvertersMicrogrid Control and Optimization
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