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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) International Journal of Informatics and Communication Technology (IJ-ICT) JUITA : Jurnal Informatika Indonesian Journal of Electrical Engineering and Computer Science Letters in Information Technology Education (LITE)

Wahyu Mulyo Utomo

Universiti Tun Hussein Onn Malaysia

Author-ID : 409209

Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering

Published : 7 Documents Claim Missing Document

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Articles

The Effectiveness of Fuzzy-SAW Method for the Selection of New Student Admissions in Vocational High School Lestari, Pashatania Fitri Indah; Prabowo, Tito Tri; Utomo, Wahyu Mulyo
Letters in Information Technology Education (LITE) Vol 3, No 1 (2020)
Publisher : Universitas Negeri Malang

New student admission activities are routine activities carried out by vocational high schools every year to get the best students. A method is needed that can be used as a means of screening to select students based on their abilities and fields that are in accordance with the characteristics of students. This study uses the Fuzzy-SAW Method which is carried out through 3 stages, namely preparation of the components of the situation, the analysis and synthesis of information. The use of this method is expected to be able to help and provide the best decisions in the acceptance of new students.

Speed Tracking of Field Oriented Control Permanent Magnet Synchronous Motor Using Neural Network Wahyu Mulyo Utomo; Nooradzianie Muhammad Zin; Zainal Alam Haron; Sy Yi Sim; Azuwien Aida Bohari; Roslina Mat Ariff; Dirman Hanafi
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 4, No 3: September 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (631.549 KB)

The field oriented control theory and space vector pulse width modulation technique make a permanent magnet synchronous motor can achieve the performance as well as a DC motor. However, due to the nonlinearity of the permanent magnet synchronous motor drive characteristics, it is difficult to control by using conventional proportional-integral-derivative controller. By this reason in this paper an online neural network controller for the permanent magnet synchronous motor is proposed. The controller is designed to tracks variations of speed references and also during load disturbance. The effectiveness of the proposed method is verified by develop simulation model in MATLAB-simulink program. The simulation results show that the proposed controller can reduce the overshoot, settling time and rise time. It can be concluded that the performance of the controller is improved.DOI: http://dx.doi.org/10.11591/ijpeds.v4i3.5941

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

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.

Takagi-Sugeno Fuzzy Perpose as Speed Controller in Indirect Field Oriented Control of Induction Motor Drive Roslina Mat Ariff; Dirman Hanafi; Wahyu Mulyo Utomo; Nooradzianie Muhammad Zin; Sy Yi Sim; Azuwien Aida Bohari
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 8, No 2: June 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v8.i2.pp513-521

This paper deal with the problem in speed controller for Indirect Field Oriented Control of Induction Motor. The problem cause decrease performance of Induction Motor where it widely used in high-performance applications. In order decrease the fault of speed induction motor, Takagi-Sugeno type Fuzzy logic control is used as the speed controller. For this, a model of indirect field oriented control of induction motor is built and simulating using MATLAB simulink. Secondly, error of speed and derivative error as the input and change of torque command as the output for speed control is applied in simulation. Lastly, from the simulation result overshoot is zero persent, rise time is 0.4s and settling time is 0.4s. The important data is steady state error is 0.01 percent show that the speed can follow reference speed. From that simulation result illustrate the effectiveness of the proposed approach.

Performance Evaluation of Digital Image Processing by Using Scilab Rudi Heriansyah; Wahyu Mulyo Utomo
JUITA : Jurnal Informatika JUITA Vol. 9 No. 2, November 2021
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Scilab is an open-source, cross-platform computational environment software available for academic and research purposes as a free of charge alternative to the matured computational copyrighted software such as MATLAB. One of important library available for Scilab is image processing toolbox dedicated solely for image and video processing. There are three major toolboxes for this purpose: Scilab image processing toolbox (SIP), Scilab image and video processing toolbox (SIVP) and recently image processing design toolbox (IPD). The target discussion in this paper is SIVP due to its vast use out there and its capability to handle streaming video file as well (note that IPD also supports video processing). Highlight on the difference between SIVP and IPD will also be discussed. From testing, it is found that in term of looping test, Octave and FreeMat are faster than Scilab. However, when converting RGB image to grayscale image, Scilab outperform Octave and FreeMat.

Modelling and Simulation of Field Oriented Control Based Permanent Magnet Synchronous Motor Drive System Faisal Amin; Erwan Bin Sulaiman; Wahyu Mulyo Utomo; Hassan Ali Soomro; Mahyuzie Jenal; Rajesh Kumar
Indonesian Journal of Electrical Engineering and Computer Science Vol 6, No 2: May 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v6.i2.pp387-395

On the basis of analysis of dq model of permanent magnet synchronous motor (PMSM) and principle of field oriented control (FOC), detail modelling of PMSM drive system and simulation results presented in this paper. The PMSM model is based on electronic components rather than mathematical blocks, this enabled us to achieve simulation results more realistic. Moreover all the modules of this simulation, such as inverter and pwm generator are made from scratch instead of using premade Simulink blocks. Simulation was carried on the basis of step change in speed and torque then made performance comparison of several parameters such as abc current, dq current, speed and torque.

High accuracy sensor nodes for a peat swamp forest fire detection using ESP32 camera Shipun Anuar Hamzah; Mohd Noh Dalimin; Mohamad Md Som; Mohd Shamian Zainal; Khairun Nidzam Ramli; Wahyu Mulyo Utomo; Nor Azizi Yusoff
International Journal of Informatics and Communication Technology (IJ-ICT) Vol 11, No 3: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijict.v11i3.pp229-239

The use of smoke sensors in high-precision and low-cost forest fire detection kits needs to be developed immediately to assist the authorities in monitoring forest fires especially in remote areas more efficiently and systematically. The implementation of automatic reclosing operation allows the fire detector kit to distinguish between real smoke and non-real smoke successfully. This has profitably reduced kit errors when detecting fires and in turn prevent the users from receiving incorrect messages. However, using a smoke sensor with automatic reclosing operation has not been able to optimize the accuracy of identifying the actual smoke due to the working sensor node situation is difficult to predict and sometimes unexpected such as the source of smoke received. Thus, to further improve the accuracy when detecting the presence of smoke, the system is equipped with two digital cameras that can capture and send pictures of fire smoke to the users. The system gives the users choice of three interesting options if they want the camera to capture and send pictures to them, namely request, smoke trigger and movement for security purposes. In all cases, users can request the system to send pictures at any time. The system equipped with this camera shows the accuracy of smoke detection by confirming the actual smoke that has been detected through images sent in the user’s Telegram channel and on the Graphical User Interface (GUI) display. As a comparison of the system before and after using this camera, it was found that the system that uses the camera gives advantage to the users in monitoring fire smoke more effectively and accurately.

Co-Authors Alvin John Lim Meng Siang Azuwien Aida Bohari Chien Siong Kai Dirman Hanafi Erwan Bin Sulaiman Faisal Amin Goh Hui Hwang Hassan Ali Soomro Kah Haw Law Khairun Nidzam Ramli Lestari, Pashatania Fitri Indah Mahyuzie Jenal Mohamad Md Som Mohd Noh Dalimin Mohd Shamian Zainal Nooradzianie Muhammad Zin Nor Aira Zambri Nor Azizi Yusoff Prabowo, Tito Tri Rajesh Kumar Roslina Mat Ariff Roslina Mat Ariff Rudi Heriansyah Shipun Anuar Hamzah Sim Gia Yi Sim Sy Yi Sy Yi Sim Yonis M. Y. Buswig Zainal Alam Haron

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