Analysis of Asymmetrical 31-Level Cascaded Inverter with SICPWM using ANFIS Controller for Solar PV Applications

The modified topologies for a asymmetrical cascaded inverter is analyzed with a smaller number of DC voltage sources, power electronic knobs, and power diodes which can generate several levels. The Adaptive Neuro-Fuzzy Inference System (ANFIS) is suggested for asymmetrical modified cascaded inverter topologies to decrease the Total Harmonic Distortions (THD). This technique forbids the changes present in the performance from the modified inverter voltage. The purpose of this research effort is to demonstrate that the significance of ANFIS is to integrate learning to alter the substance of knowledge that meets the learner's needs. The ANFIS model concert calculates using necessary error quantities that display the perfect location required for an improved conviction. For the THD evaluation with and without ANFIS controller, the analysis of thirty-one-level for asymmetrical design was performed. ANFIS controller will be used to obtaining the controlled Root Mean Square (RMS) output from the voltage. The performance of without controller and with ANFIS controlled 31-level asymmetrical cascaded inverter is evaluated and compared with the use of MATLAB/Simulink.

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Publication Details

Journal
International Journal of Advanced Research in Science Communication and Technology
Published
2025-04-05
DOI
https://doi.org/10.48175/ijarsct-24910
Primary Topic
Multilevel Inverters and Converters
Type
article
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article

Analysis of Asymmetrical 31-Level Cascaded Inverter with SICPWM using ANFIS Controller for Solar PV Applications

D. Naresh, N. Ramesh Raju, D. Gowtham, K. Muralikumar et al.
International Journal of Advanced Research in Science Communication and Technology
Multilevel Inverters and Converters
article

Analysis of Asymmetrical 31-Level Cascaded Inverter with SICPWM using ANFIS Controller for Solar PV Applications

D. Naresh, N. Ramesh Raju, D. Gowtham, K. Muralikumar, G. Pawan Kalyan, B. Divyanjali, A. Lakshmi Narasaiah
article en

Abstract

The modified topologies for a asymmetrical cascaded inverter is analyzed with a smaller number of DC voltage sources, power electronic knobs, and power diodes which can generate several levels. The Adaptive Neuro-Fuzzy Inference System (ANFIS) is suggested for asymmetrical modified cascaded inverter topologies to decrease the Total Harmonic Distortions (THD). This technique forbids the changes present in the performance from the modified inverter voltage. The purpose of this research effort is to demonstrate that the significance of ANFIS is to integrate learning to alter the substance of knowledge that meets the learner's needs. The ANFIS model concert calculates using necessary error quantities that display the perfect location required for an improved conviction. For the THD evaluation with and without ANFIS controller, the analysis of thirty-one-level for asymmetrical design was performed. ANFIS controller will be used to obtaining the controlled Root Mean Square (RMS) output from the voltage. The performance of without controller and with ANFIS controlled 31-level asymmetrical cascaded inverter is evaluated and compared with the use of MATLAB/Simulink.

International Journal of Advanced Research in Science Communication and Technology
Openalex Percentile: Top 95%
Multilevel Inverters and Converters
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Analysis of Asymmetrical 31-Level Cascaded Inverter with SICPWM using ANFIS Controller for Solar PV Applications — D. Naresh, N. Ramesh Raju, et al. · International Journal of Advanced Research in Science Communication and Technology (2025) | TGRS Research Map | TGRS