Abdul Malek Saidina Omar

Abdul Malek Saidina Omar
Universiti Teknologi Mara (Pulau Pinang) · Faculty of Electrical Engineering

About

10
Publications
3,144
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25
Citations
Citations since 2016
10 Research Items
25 Citations
201620172018201920202021202201234567
201620172018201920202021202201234567
201620172018201920202021202201234567
201620172018201920202021202201234567

Publications

Publications (10)
Article
Full-text available
Deep Learning has ignited great international attention in modern artificial intelligence techniques. The method has been widely applied in many power system applications and produced promising results. A few attempts have been made to classify fault on transmission lines using various deep learning methods. However, a type of deep learning called...
Article
Full-text available
Voltage flicker is one of the vital disruptions in electrical distribution power systems. An electric arc furnace is considering as one of the major causes of voltage flicker due to it an unbalanced, nonlinear and time-varying behaviours. Distribution Synchronous static compensator (D-STATCOM) has been shown to be a competent and dynamic device to...
Article
Full-text available
This paper proposes a speed control design of Permanent Magnet Synchronous Motor (PMSM) using Field Oriented Control (FOC). The focus is to design a speed control using Takagi - Sugeno Fuzzy Logic Control (T-S FLS). These systems will replace the conventional method which is proportional-integral (PI). The objective of this paper is to study the T-...
Conference Paper
This paper presents a power electronic devices application focus on modeling, analysis, and control of switching power converter in the inverting DC substation with regenerative braking system which is used to recycle the surplus regenerative power by feed it back to the main AC grid. The main objective of this research is to improve the switching...
Article
Full-text available
This project proposes a combination of the Model Reference Adaptive System (MRAS) scheme to estimate the speed information of the PMSM and the proportional integral (PI) scheme with the particle swarm optimization (PSO) to tune the PI gains used in the speed control of the PMSM. The adaptation scheme of the MRAS is based on the Takagi- Sugeno Fuzzy...

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