Al-Hiealy, Mohammed Rasheed Jubair and Omar, Rosli and Sulaiman, Marizan and Alakkad Majeda, Moataz M.A. and Abd Halim, Wahidah (2019) Artificial intelligence technique to real-time based on selective harmonic elimination in modified multilevel inverter. Journal of Engineering and Applied Sciences (JEAS), 14 (24). pp. 9692-9700. ISSN 1816-949X
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Abstract
In this study, Artificial Intelligence (AI) technique is applied to determine the switching angles for a uniform step asymmetrical modifiedmultilevel inverter by eliminating specified higher-order harmonics while maintaining the required fundamental voltage and current waveform. Artificial intelligence technique based on Selective Harmonic Elimination (SHE) method in a modifiedmultilevel inverter has been proposed in this study. The Selective Harmonic Elimination Pulse-Width Modulation (SHE-PWM) is a powerful technique for harmonic minimization in multilevel inverter. The proposed a five-level Modified Cascaded H-Bridge Multilevel Inverter (M-CHBMI) with Artificial Neural Network (ANN) controller to improve the output voltage and current performance and achieve a lower Total Harmonic Distortion (THD). The main aims of this study cover design, modeling, prediction for real-time generation of optimal switching angles in five level modified topology of the CHB-MLI for a single-phase. Real-time application of Selective Harmonic Elimination-Pulse Width Modulation (SHE-PWM) technique is limited due to the heavy computational cost involved in solving aspecified number of transcendental nonlinear equations known as Selective Harmonic Elimination (SHE) equations that contain trigonometric functions. Simulation of a 5-level inverter in MATLAB/Simulink reveals that the proposed method is highly efficient for harmonic reduction in modified multilevel inverter
Item Type: | Article |
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Uncontrolled Keywords: | Harmonics, Artificial Intelligence, Modified Multilevel Inverter, Five Level, Fundamental Voltage, Modulation |
Divisions: | Faculty of Electrical Engineering |
Depositing User: | Norfaradilla Idayu Ab. Ghafar |
Date Deposited: | 12 May 2022 11:30 |
Last Modified: | 12 May 2022 11:32 |
URI: | http://eprints.utem.edu.my/id/eprint/24826 |
Statistic Details: | View Download Statistic |
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