Enhance Cascaded H-Bridge Multilevel Inverter with Artificial Intelligence Control


Sim, S. Y. and Chia, C. K. and Utomo, W. M. and Goh, H. H. and Buswig, Y. M. Y. and Lim, A. J. M. S. and Kek, S. L. and Bohari, A. A. and Cham, Chin Leei (2018) Enhance Cascaded H-Bridge Multilevel Inverter with Artificial Intelligence Control. Indonesian Journal of Electrical Engineering and Computer Science, 11 (1). p. 105. ISSN 2502-4752

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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 verifyl the proposed ANN controller based 7-level CHBMI achieved a lower output voltage THD value with a better sinusoidal output performance.

Item Type: Article
Uncontrolled Keywords: Neural networks (Computer science), Artificial neural network (ANN), H-Bridge, Multilevel inverter, Total harmonic distortion (THD)
Subjects: Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions: Faculty of Engineering (FOE)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 18 Nov 2020 12:30
Last Modified: 18 Nov 2020 12:30
URII: http://shdl.mmu.edu.my/id/eprint/7395


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