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All Journal Indonesian Journal of Electrical Engineering and Computer Science
H.H. Goh
Universiti Tun Hussein Onn Malaysia

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Enhance Cascaded H-Bridge Multilevel Inverter with Artificial Intelligence Control S.Y. Sim; C.K. Chia; W.M. Utomo; H.H. Goh; Y.M.Y. Buswig; A.J.M.S. Lim; S.L. Kek; A.A. Bohari; C.L, Cham
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 1: July 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v11.i1.pp105-112

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 verifyl the proposed ANN controller based 7-level CHBMI achieved a lower output voltage THD value with a better sinusoidal output performance.
Evolution of Precision Agriculture Computing towards Sustainable Oil Palm Industry K.C. Goh; S.Y. Sim; H.H. Goh; K. Bilal; T.H. Sam; T.Y. Teoh; J. S. Tey
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 2: August 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v11.i2.pp725-732

Abstract

Precision technology elements have not been implemented yet into the sustainable oil palm industry because the knowledge and technology gap. To resolve the gaps, promote sustainability and integrate the technologies, Oil Palm Management System (OPAMS) was introduced. The precision technologies in OPAMS comprises of Geographical Information System (GIS), Global Positioning System (GPS), remote sensing and yield monitoring. A phase by phase System Development Life Cycle (SDLC) methodology was used to generate the said system with feedbacks from oil palm planters as the inputs for OPAMS’s key features. OPAMS ultimately aims to increase the awareness of the industry on the benefits of utilizing technology to improve plantation performances, increase business and environmental sustainability.
Co-Authors A.A. Bohari A.J.M.S. Lim C.K. Chia C.L, Cham J. S. Tey K. Bilal K.C. Goh S.L. Kek S.Y. Sim T.H. Sam T.Y. Teoh W.M. Utomo Y.M.Y. Buswig