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All Journal Indonesian Journal of Electrical Engineering and Computer Science
Moataz M.A. Alakkad
Universiti Teknikal Malaysia Melaka

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Real-time switching thirteen-level modified CHB-Multilevel inverter using artificial neural network technique based on selective harmonic elimination Moataz M.A. Alakkad; Zulhani Rasin; Mohammed Rasheed; Wahidah Abd Halim; Rosli Omar
Indonesian Journal of Electrical Engineering and Computer Science Vol 20, No 3: December 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v20.i3.pp1642-1652

Abstract

Recently, global research is giving more attention to the renewable energy sources due to its sustainability and environmentally friendly nature. The necessity of DC to AC conversion to integrate these sources to the well established AC power system create a significant development of multi-level inverter with its advantages of operating at higher rating system with lower component rating as well as better harmonics performance at it output voltage and current. In this research paper, a modified topology of CHB-MLI to provide 13-level output AC waveform is proposed based on the SHE-PWM strategy using the ANN optimization technique. The system modeling is done with Matlab Simulink software and verification are carried out by both simulation and experiment. Results show that the ANN technique able to reduce the THD significantly as the level of waveform is increased as low as 5.16% THD for the 13-level output voltage. Results from the experiment shows a good agreement with the simulation, thus verifying the effectiveness of the proposed ANN technique as an optimization method. 
Analysis of a switching angle calculation by ANN for nine level inverter apply into experimental case study with elimination of lower and higher order harmonics Mohammed Rasheed; Rosli Omar; Marizan Sulaiman; Wahidah Abd Halim; Moataz M.A. Alakkad
Indonesian Journal of Electrical Engineering and Computer Science Vol 20, No 2: November 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v20.i2.pp948-959

Abstract

This paper confers an investigation of a selective harmonic elimination (SHE) technique has gained wide acceptance for many AC drive applications, due to a higher DC bus voltage utilization (higher output voltage compared with the sinusoidal pulse width modulation (SPWM), lower harmonic distortions and easy digital realization.” In recent years, the SHE technique was extensively adopted in multilevel inverters since it offers greater numbers of switching for obtaining further improvements of AC drive performances. “Nevertheless, the use of SHE-associated multilevel inverters will optimize the switching angles based on artificial neural networks (ANN) compared with particle swarm optimization (PSO) to reduce the total harmonic distortion (THD) of the modified CHB-MLI output voltage within permissible limits. The main objectives of this paper are the design and testing of the CHB-MLI modified topology laboratory for a nine-level single-phase prototype.” Also demonstrated were the experimental effects of using Digital Signal Processing (DSP) TMS320F2812 into a prototype. The controls were applied to the modified multilevel inverter, based on ANN and PSO. The proposed controller was then coded onto a board of DSP TMS320F2812. Compared with the PSO method, the inverter gives fewer THD using ANN scheme.
Co-Authors Marizan Sulaiman Mohammed Rasheed Rosli Omar Wahidah Abd Halim Zulhani Rasin