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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) TELKOMNIKA (Telecommunication Computing Electronics and Control) Indonesian Journal of Electrical Engineering and Computer Science
Sim Sy Yi
Universiti Tun Hussein Onn Malaysia
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Loss minimization DTC electric motor drive system based on adaptive ANN strategy Sim Sy Yi; Wahyu Mulyo Utomo; Goh Hui Hwang; Chien Siong Kai; Alvin John Lim Meng Siang; Nor Aira Zambri; Yonis M. Y. Buswig; Kah Haw Law; Sim Gia Yi
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 11, No 2: June 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (306.642 KB) | DOI: 10.11591/ijpeds.v11.i2.pp618-624

Abstract

Electric motor drive systems (EMDS) have been recognized as one of the most promising motor systems recently due to their low energy consumption and reduced emissions. With only some exceptions, EMDS are the main source for the provision of mechanical energy in industry and accounts for about 60% of global industrial electricity consumption. Large energy efficiency potentials have been identified in EMDS with very short payback time and high-cost effectiveness. Typical, during operation at rated mode, the motor drive able to hold its good efficiencies. However, a motor usually operates out from rated mode in many applications, especially while under light load, it reduced the motor’s efficiency severely. Hence, it is necessary that a conventional drive system to embed with loss minimization strategy to optimize the drive system efficiency over all operation range. Conventionally, the flux value is keeping constantly over the range of operation, where it should be highlighted that for any operating point, the losses could be minimize with the proper adjustment of the flux level to a suitable value at that point. Hence, with the intention to generate an adaptive flux level corresponding to any operating point, especially at light load condition, an online learning Artificial Neural Network (ANN) controller was proposed in this study, to minimize the system losses. The entire proposed strategic drive system would be verified under the MATLAB/Simulink software environment. It is expected that with the proposed online learning Artificial Neural Network controller efficiency optimization algorithm can achieve better energy saving compared with traditional blended strategies.
Performance comparison of PEMFC hydrogen reformer with different controllers Nor Aira Zambri; Norhafiz Bin Salim; Faridah Hanim Mohd Noh; Sim Sy Yi
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 5: October 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i5.12817

Abstract

The renewable energy technology has become very popular due to major constraint in the existing electrical system such as high electricity demand, increased in fuel prices and concern of environmental pollution. The aims of this project are to develop a complete Proton Exchange Membrane Fuel Cell (PEMFC) model with hydrogen reformer by using MATLAB/ Simulink with three different controllers and comparison between the three controllers will be discussed. This project presents the development of methods to solve the problem of PEMFC output voltage by using different controllers which are Proportional Integral (PI), Proportional Integral Derivatives (PID) and Proportional Integral Fuzzy (PI-Fuzzy) controllers. The Ziegler Nicholas tuning method is used to tune PI and PID gains in a Simulink model. It helps the system to achieve a balance between performance and robustness for both controllers. The Mamdani type was used to develop the fuzzy controller in Simulink model. The transient performances that will be discussed are rise time, settling time, maximum overshoot, and percentage of overshoot. The results show that the proposed PI-Fuzzy is better than the conventionally used PI and PID controllers.
Development of solar panel cleaning robot using Arduino Faridah Hanim Binti Mohd Noh; Muhamad Faizal Yaakub; Ili Najaa Aimi Mohd Nordin; Norain Sahari; Nor Aira Zambri; Sim Sy Yi; Muhammad Syukri Mohd Saibon
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 3: September 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v19.i3.pp1245-1250

Abstract

Solar power is mainly harnessed from photovoltaic (PV) panels which are arranged in multiple arrays in a solar farm or solar system. Though, power generation from PV solar system is characterised by uncertain efficiency, many countries with high insolation prefer solar as an alternative way of generating clean energy. However, the efficiency of energy generated from PV panels is affected by the accumulation of dust and debris, even on one panel in an array. This condition leads to the need for regular cleaning of the surface of PV panels. Current labour-based cleaning methods for photovoltaic arrays are costly in time, water and energy usage as well as lacking in automation capabilities. To overcome this problem, a fully automatic solar panel cleaning system with/without water is proposed. Hence, in this paper, the design of a robot for automated cleaning of the surface of PV panel is presented. The design utilizes an Arduino controller system to control the robot movement during the cleaning process. In addition, it is equipped with two rough sponge and a water pump system that can be used to clean dust or debris found on PV panel surfaces. The efficiency of the PV panels before and after the cleaning process is also observed. The result shows that the developed solar panel cleaning robot is able to clean the panel effectively and increase back the output current as well as the maximum power of the panel by 50%, after the dust on the PV panel is cleaned.
An investigation of piezoelectric tile with drop test technique for energy harvesting application Anis Maisarah Mohd Asry; Farahiyah Mustafa; Sim Sy Yi; Maizul Ishak; Aznizam Ahmad
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 3: September 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v14.i3.pp1633-1638

Abstract

This paper present test and analyses of piezoelectric transducers tile with drop test technique. This piezoelectric tile was tested together with bending mechanism. The bending mechanism was designed using SolidWork software and manufactured by employing 3D printer technology to conduct the evaluation. The piezoelectric transducers connected in a parallel configuration and inserted in piezoelectric tile together with bending mechanism. The drop test employed to test this piezoelectric tile with various loads and speeds. This test conducted based on free fall concept. A wooden box used as a guide to drop an object onto the piezoelectric tile. The various weight load released at a fixed height with different speeds. The output power generated based on the weight and speed of the object were recorded with average force applied on piezoelectric transducer. The highest output power generated was 634.54 µW when 6 kg load released at 2 drop/s with 1.89 N average force applied on each piezoelectric transducer. The lowest output power generated was 6.28 µW when 1 kg load released at 0.5 drop/s with 0.22 N average force applied. The results showed good output power of the piezoelectric transducer was generated for energy harvesting application.
Co-Authors Alvin John Lim Meng Siang Anis Maisarah Mohd Asry Aznizam Ahmad Chien Siong Kai Farahiyah Mustafa Faridah Hanim Binti Mohd Noh Faridah Hanim Mohd Noh Goh Hui Hwang Ili Najaa Aimi Mohd Nordin Kah Haw Law Maizul Ishak Muhamad Faizal Yaakub Muhammad Syukri Mohd Saibon Nor Aira Zambri Norain Sahari Norhafiz Bin Salim Sim Gia Yi Wahyu Mulyo Utomo Yonis M. Y. Buswig