APPLICATION OF CURVE FITTING TECHNIQUES USING SOFT COMPUTING TECHNIQUES (GA, GSA, POS AND NR) IN MULTILEVEL INVERTERS FOR HARMONIC MINIMIZATION

With the advent of low cost and powerful computers, the soft computing (SC) approach seems to be a better approach and well suited to handle the complexity of the HEPWM problem. This paper presents an approach to the application of soft computing techniques for selective harmonic elimination from ou...

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Main Authors: VARSHA SINGH, SWAPNAJIT PATTNAIK, S. GUPTA
Format: Article
Language:English
Published: Taylor's University 2017-12-01
Series:Journal of Engineering Science and Technology
Subjects:
Online Access:http://jestec.taylors.edu.my/Vol%2012%20issue%2012%20December%202017/12_12_17.pdf
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spelling doaj-dbe56490c8b14a40a1637f5d9de3665d2020-11-24T23:46:08ZengTaylor's UniversityJournal of Engineering Science and Technology1823-46902017-12-01121233583375APPLICATION OF CURVE FITTING TECHNIQUES USING SOFT COMPUTING TECHNIQUES (GA, GSA, POS AND NR) IN MULTILEVEL INVERTERS FOR HARMONIC MINIMIZATIONVARSHA SINGH0SWAPNAJIT PATTNAIK1S. GUPTA2Department of Electrical Engineering, NIT Raipur, G.E. Road, India, 492010Department of Electrical Engineering, NIT Raipur, G.E. Road, India, 492010Department of Electrical Engineering, NIT Raipur, G.E. Road, India, 492010With the advent of low cost and powerful computers, the soft computing (SC) approach seems to be a better approach and well suited to handle the complexity of the HEPWM problem. This paper presents an approach to the application of soft computing techniques for selective harmonic elimination from output voltage of Single phase multilevel inverter by proper selection of switching angles. Newton Raphson method (NR), Genetic algorithm (GA), Particle swarm optimization (PSO) & Gravitational search algorithm (GSA) are prominent soft computing techniques which are implemented to obtain the minimum total harmonic distortion (THD) of multilevel inverter. To obtained experiment results a new modulation method is used to change these angles into PWM switching. Another approach in the determination of switching angles for Selective Harmonic Elimination technique of reduction of harmonics is the use of Curve Fitting technique has been reported. Some new curve fitting techniques mainly piecewise curve fitting technique using spline has been worked out and analyzed. Comparison of performances of soft computing and curve fitting techniques is done. Simulation and experimental results prove the powerful merits of the proposed techniques and improvements done on previous works.http://jestec.taylors.edu.my/Vol%2012%20issue%2012%20December%202017/12_12_17.pdfMultilevel invertersSelective harmonic eliminationTotal harmonic distortionPWM switchingcurve fittingSPLINE
collection DOAJ
language English
format Article
sources DOAJ
author VARSHA SINGH
SWAPNAJIT PATTNAIK
S. GUPTA
spellingShingle VARSHA SINGH
SWAPNAJIT PATTNAIK
S. GUPTA
APPLICATION OF CURVE FITTING TECHNIQUES USING SOFT COMPUTING TECHNIQUES (GA, GSA, POS AND NR) IN MULTILEVEL INVERTERS FOR HARMONIC MINIMIZATION
Journal of Engineering Science and Technology
Multilevel inverters
Selective harmonic elimination
Total harmonic distortion
PWM switching
curve fitting
SPLINE
author_facet VARSHA SINGH
SWAPNAJIT PATTNAIK
S. GUPTA
author_sort VARSHA SINGH
title APPLICATION OF CURVE FITTING TECHNIQUES USING SOFT COMPUTING TECHNIQUES (GA, GSA, POS AND NR) IN MULTILEVEL INVERTERS FOR HARMONIC MINIMIZATION
title_short APPLICATION OF CURVE FITTING TECHNIQUES USING SOFT COMPUTING TECHNIQUES (GA, GSA, POS AND NR) IN MULTILEVEL INVERTERS FOR HARMONIC MINIMIZATION
title_full APPLICATION OF CURVE FITTING TECHNIQUES USING SOFT COMPUTING TECHNIQUES (GA, GSA, POS AND NR) IN MULTILEVEL INVERTERS FOR HARMONIC MINIMIZATION
title_fullStr APPLICATION OF CURVE FITTING TECHNIQUES USING SOFT COMPUTING TECHNIQUES (GA, GSA, POS AND NR) IN MULTILEVEL INVERTERS FOR HARMONIC MINIMIZATION
title_full_unstemmed APPLICATION OF CURVE FITTING TECHNIQUES USING SOFT COMPUTING TECHNIQUES (GA, GSA, POS AND NR) IN MULTILEVEL INVERTERS FOR HARMONIC MINIMIZATION
title_sort application of curve fitting techniques using soft computing techniques (ga, gsa, pos and nr) in multilevel inverters for harmonic minimization
publisher Taylor's University
series Journal of Engineering Science and Technology
issn 1823-4690
publishDate 2017-12-01
description With the advent of low cost and powerful computers, the soft computing (SC) approach seems to be a better approach and well suited to handle the complexity of the HEPWM problem. This paper presents an approach to the application of soft computing techniques for selective harmonic elimination from output voltage of Single phase multilevel inverter by proper selection of switching angles. Newton Raphson method (NR), Genetic algorithm (GA), Particle swarm optimization (PSO) & Gravitational search algorithm (GSA) are prominent soft computing techniques which are implemented to obtain the minimum total harmonic distortion (THD) of multilevel inverter. To obtained experiment results a new modulation method is used to change these angles into PWM switching. Another approach in the determination of switching angles for Selective Harmonic Elimination technique of reduction of harmonics is the use of Curve Fitting technique has been reported. Some new curve fitting techniques mainly piecewise curve fitting technique using spline has been worked out and analyzed. Comparison of performances of soft computing and curve fitting techniques is done. Simulation and experimental results prove the powerful merits of the proposed techniques and improvements done on previous works.
topic Multilevel inverters
Selective harmonic elimination
Total harmonic distortion
PWM switching
curve fitting
SPLINE
url http://jestec.taylors.edu.my/Vol%2012%20issue%2012%20December%202017/12_12_17.pdf
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AT sgupta applicationofcurvefittingtechniquesusingsoftcomputingtechniquesgagsaposandnrinmultilevelinvertersforharmonicminimization
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