Buswig, Yonis.M.Yonis and Sim, S.Y. and Chia, C.K and Utomo, W.M and Goh, H.H. and Lim, A.J.M.S. and Kek, S.L. and Bohari, A. and Cham, C.L (2018) Enhance Cascaded H-Bridge Multilevel Inverter with Artificial Intelligence Control. Enhance Cascaded H-Bridge Multilevel Inverter with Artificial Intelligence Control, 11 (1). pp. 105-112. ISSN 2502-4752
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Abstract
This paper proposed a 7-level Cascaded H-Bridge Multilevel Inverter (CHBMI) with two diffenrent controller, ie, PID and Artificial Neural Network (ANN) controller to improve the output voltage performance and achieve a lower Total Harmonic Distortion (THD). A PWM generator is connected to the 7-level CHBMI to provide switching of the MOSFET. The reference signal waveform for the PWM generator is set to be sinusoidal to obtain an ideal AC output voltage waveform from the CHBMI. By tuning the PID controller as well as the self-learning abilities of the ANN controller, switching signals towards the CHBMI can be improved. Simulation results from the general CHBMI together with the proposed PID and ANN controller based 7-level CHBMI models will be compared and discussed to verify the proposed ANN controller based 7-level CHBMI achieved a lower output voltage THD value with a better sinusoidal output performance
| Item Type: | Article |
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| Uncontrolled Keywords: | Artificial neural network (ANN), H-Bridge, Multilevel inverter, Total harmonic distortion(THD), unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Academic Faculties, Institutes and Centres > Faculty of Engineering Faculties, Institutes, Centres > Faculty of Engineering |
| Depositing User: | Yonis Buswig |
| Date Deposited: | 27 Jun 2018 01:46 |
| Last Modified: | 20 Jun 2019 07:14 |
| URI: | http://ir.unimas.my/id/eprint/20513 |
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