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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) TEKNIK Jurnal Pendidikan Teknologi dan Kejuruan Teknika Jurnal Teknologi Informasi dan Ilmu Komputer ELINVO (Electronics, Informatics, and Vocational Education) ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika EMITTER International Journal of Engineering Technology Journal of Electrical Technology UMY JST ( Jurnal Sains Terapan ) JTT (Jurnal Teknologi Terpadu) JURNAL INTEGRASI Jurnal Otomasi Kontrol dan Instrumentasi Energi & Kelistrikan JEECAE (Journal of Electrical, Electronics, Control, and Automotive Engineering) Indonesian Journal of electronics, electromedical engineering, and medical informatics Jurnal INOVTEKSeri Elektro Technologic Automotive Experiences Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Jurnal Nasional Teknik Elektro dan Teknologi Informasi POLIGRID Makara Journal of Technology Power Elektronik : Jurnal Orang Elektro TECHNOLOGIC
Era Purwanto
Politenik Elektronika Negeri Surabaya
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences Other

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Journal : EMITTER International Journal of Engineering Technology

 1 
Comparative Study of Modulation-Based Individual Inverter Techniques for Direct and Inverse by using Star-Connection Induction Motor in Extra Low Voltage Application Wishnuprakasa, Ardhia; Purwanto, Era; Windarko, Novie Ayub
EMITTER International Journal of Engineering Technology Vol 4, No 2 (2016)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3191.69 KB) | DOI: 10.24003/emitter.v4i2.154

Abstract

In this study, the IEEE 519 Standard as a basis benchmarking for voltage (THDV) and current (THDI) in draft performance. Comparative Study based onthree-techniques of 2-Level Converter (2LC) by using a Star-Connection Induction Motor (Y-CIM) in ExtraLow Voltage (ELV) Configuration.For the detail explanation, a primary inverter as Direct-Inverterby PWMdirect (PWM) degreesand asecondary inverter as Inverse-Inverterby PWMinverse(PWM + PI) degrees. It tends a modified algorithm,for eachof SPWM in six rules, and FHIPWM in 5th harmonics Injectedin standard modulation as the purpose for the Open-Ends of Pre-Dual Inverter in Decoupled SPWM for twelve rules, and Decoupled FHIPWM in combination of 5th harmonics Injectedin combination of two-standard-modulation. Those techniques are the purpose of two-inverter combination, which namelythe Equal Direct-Inverse (EDI) algorithmproduct of prototyping in similarities. The observation is restricted in voltage scope between Simulation by using Power Simulator (PSIM)and Application by using Microcontroller ARM STM32F4 Discovery.
Fuzzy Gain Scheduling of PID (FGS-PID) for Speed Control Three Phase Induction Motor Based on Indirect Field Oriented Control (IFOC) Ferdiansyah, Indra; Purwanto, Era; Windarko, Novie Ayub
EMITTER International Journal of Engineering Technology Vol 4, No 2 (2016)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (5485.475 KB) | DOI: 10.24003/emitter.v4i2.147

Abstract

This paper propose about using PID control system based on Kp, Ki, and Kd parameter determination with scheduling process from fuzzy logic. Control system is used to arrange speed of three phase induction motor using IFOC method. This method can be minimized the main problem from speed control of induction motor which is a transient condition. The robustness validation from this system use testing process of dynamic speed which is compared with the other control system to know the system performance in transient condition such as (rise time, overshoot, undershoot and settling time). The result shows using the proposed system has better performance responses which is requiring 0.001 seconds time in transient condition up to steady state condition without overshoot and undershoot problem.
Stator Flux Estimator Using Feed-Forward Neural Network for Evaluating Hysteresis Loss Curve in Three Phase Induction Motor Praharsena, Bayu; Purwanto, Era; Jaya, Arma; Rusli, Muhammad Rizani; Toar, Handri; wk, Ridwan
EMITTER International Journal of Engineering Technology Vol 6, No 1 (2018)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v6i1.263

Abstract

The operation of induction motors with high performance contributes significantly to the global energy savings but hysteresis loss is one of the factors causing decreased performance. Stator flux density (B) and magnetic field intensity (H) must be plotted to know hysteresis loss quantity. Unfortunately, since the rotor rotates in time series, the stator flux density is unmeasurable quantities, it’s hard to direct sensored this properties because of limited airgap space and costly to install additional instrument. The purpose of this paper is to evaluate the hysteresis loss quantity in induction motor using a novel method of multilayer perceptron feed forward neural network as stator flux estimator and magnetizing current model as magnetic field intensity properties. This method is effective, because it’s non-destructive method, without an additional instrument, low cost, and suitable for real-time motor drive systems. The FFNN estimator response is satisfying because accurately estimate stator flux density for evaluating hysteresis loss quantity including its magnitude and phase angle. By using the proposed model, the stator flux density and magnetizing current can be plotted become hysteresis loss curve. The performance of flux response, speed response, torque response and error deviation of stator flux estimator has been presented, investigated, compared and verified in Simulink Matlab.
Fuzzy Gain Scheduling of PID (FGS-PID) for Speed Control Three Phase Induction Motor Based on Indirect Field Oriented Control (IFOC) Indra Ferdiansyah; Era Purwanto; Novie Ayub Windarko
EMITTER International Journal of Engineering Technology Vol 4 No 2 (2016)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (5485.475 KB) | DOI: 10.24003/emitter.v4i2.147

Abstract

This paper propose about using PID control system based on Kp, Ki, and Kd parameter determination with scheduling process from fuzzy logic. Control system is used to arrange speed of three phase induction motor using IFOC method. This method can be minimized the main problem from speed control of induction motor which is a transient condition. The robustness validation from this system use testing process of dynamic speed which is compared with the other control system to know the system performance in transient condition such as (rise time, overshoot, undershoot and settling time). The result shows using the proposed system has better performance responses which is requiring 0.001 seconds time in transient condition up to steady state condition without overshoot and undershoot problem.
Comparative Study of Modulation-Based Individual Inverter Techniques for Direct and Inverse by using Star-Connection Induction Motor in Extra Low Voltage Application Ardhia Wishnuprakasa; Era Purwanto; Novie Ayub Windarko
EMITTER International Journal of Engineering Technology Vol 4 No 2 (2016)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3191.69 KB) | DOI: 10.24003/emitter.v4i2.154

Abstract

In this study, the IEEE 519 Standard as a basis benchmarking for voltage (THDV) and current (THDI) in draft performance. Comparative Study based onthree-techniques of 2-Level Converter (2LC) by using a Star-Connection Induction Motor (Y-CIM) in ExtraLow Voltage (ELV) Configuration.For the detail explanation, a primary inverter as Direct-Inverterby PWMdirect (PWM) degreesand asecondary inverter as Inverse-Inverterby PWMinverse(PWM + PI) degrees. It tends a modified algorithm,for eachof SPWM in six rules, and FHIPWM in 5th harmonics Injectedin standard modulation as the purpose for the Open-Ends of Pre-Dual Inverter in Decoupled SPWM for twelve rules, and Decoupled FHIPWM in combination of 5th harmonics Injectedin combination of two-standard-modulation. Those techniques are the purpose of two-inverter combination, which namelythe Equal Direct-Inverse (EDI) algorithmproduct of prototyping in similarities. The observation is restricted in voltage scope between Simulation by using Power Simulator (PSIM)and Application by using Microcontroller ARM STM32F4 Discovery.
Stator Flux Estimator Using Feed-Forward Neural Network for Evaluating Hysteresis Loss Curve in Three Phase Induction Motor Bayu Praharsena; Era Purwanto; Arma Jaya; Muhammad Rizani Rusli; Handri Toar; Ridwan wk
EMITTER International Journal of Engineering Technology Vol 6 No 1 (2018)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (704.235 KB) | DOI: 10.24003/emitter.v6i1.263

Abstract

The operation of induction motors with high performance contributes significantly to the global energy savings but hysteresis loss is one of the factors causing decreased performance. Stator flux density (B) and magnetic field intensity (H) must be plotted to know hysteresis loss quantity. Unfortunately, since the rotor rotates in time series, the stator flux density is unmeasurable quantities, it’s hard to direct sensored this properties because of limited airgap space and costly to install additional instrument. The purpose of this paper is to evaluate the hysteresis loss quantity in induction motor using a novel method of multilayer perceptron feed forward neural network as stator flux estimator and magnetizing current model as magnetic field intensity properties. This method is effective, because it’s non-destructive method, without an additional instrument, low cost, and suitable for real-time motor drive systems. The FFNN estimator response is satisfying because accurately estimate stator flux density for evaluating hysteresis loss quantity including its magnitude and phase angle. By using the proposed model, the stator flux density and magnetizing current can be plotted become hysteresis loss curve. The performance of flux response, speed response, torque response and error deviation of stator flux estimator has been presented, investigated, compared and verified in Simulink Matlab.
Co-Authors A'yun, Rifki Qurotul Abdillah Aziz Muntashir Abdullah Aziz Muntashir Ade Rochmana Ade Rochmanu Aditya Ilham Pradana Adoe, Cenneth Paolo Anderson Bai Agustian, Singgih Ainur Rofiq Akbar, Gilang Ekavigo Astafil Ananto Mukti Wibowo angga wahyu aditya Apriyanto, R. Akbar Nur APRIYANTO, RADEN AKBAR NUR Ardhia Wishnuprakasa Ardhia Wishnuprakasa Aries Alfian Prasetyo Arma Jaya Bambang Sumantri Bambang Sumantri Bambang Sumantri BASUKI, GAMAR Bayu Praharsena Bayu Praharsena Dedid Cahya Happyanto Diah Septi Y. Dimas Okky Anggriawan Eka Prasetyono, Eka Endro Wahjono Endro Wahjono, Endro Erawati, Fera Fachrurozy Fachrurozy Fakhruddin, Hanif Hasyier Farid Amrinsani Farid Dwi Murdianto Fathur Zaini Rachman Fera Erawati Ferdiansyah, Indra GAMAR BASUKI Gamar Basuki Gigih Prabowo Handri Toar Hanif Hasyier FAkhruddin HANIF HASYIER FAKHRUDDIN Hanif Hasyier Fakhruddin Hary Oktavianto Hendik Eko Hadi Suharyanto I Dewa Gede Hari Wisana Intan Sholikha Jaya, Arma Kadek Reda Setiawan Suda Karisma Trinanda Putra, Karisma Trinanda Lucky Pradigta S.R. Makoto Chiba Margo P Mauridhi Heri Purnomo Mauridhi Heri Purnomo Mauridhi Hery Purnomo Mentari Putri Jati MOCHAMAD ARI BAGUS NUGROHO Mohammad Ashary Mohammad Ashary, Mohammad Mohammad Jauhari Mr. Sukamto Muhammad Aditya Ardiansyah Muhammad Irfan Zaidan Muhammad Wahyudi Muna, M. Faza Zidnal Nibras Syarif Ramadhan Novie Ayub Windarko Novrian Eka Sandhi Nugroho, Syechu Dwitya Nur Yanti Nurwahidah Jamal Pradana, Aditya Ilham Pradigta S.R., Lucky Praharsena, Bayu Putu Agus Mahadi Putra Qudsi, Ony Asrarul R. Akbar Nur Apriyanto R. Akbar Nur Apriyanto R. Akbar Nur Apriyanto R. Oktav Yama Hendra Raden Akbar Nur Apriyanto Ramadhan, Nibras Syarif Renny Rakhmawati, Safira Nur Hanifah, Renny Rakhmawati, Ridwan Ridwan Ridwan W.K. Ridwan wk Rifqi Dary Suryanto Rochmana, Ade Rochmanu, Ade Rusli, Muhammad Rizani Safa Aulia Zerlina SATO Yukihiko Septi Y., Diah Setiawan Suda, Kadek Reda Sindu Muhammad Imam Taufik Singgih Agustian Siswoyo, Charis Faridchie Soebagio Soebagio Sri Muntiah Andriami Subagio subagio Subagio Subagio Subagio Subagio, Subagio Suda, Kadek Reda Setiawan Sulis Wanto Sutedjo Sutedjo sutedjo Sutedjo Syahwir, Irawati Dewi Syamsul Arifin Syamsul Rohman Syechu Dwitya Nugraha Syechu Dwitya Nugroho Taufik, Sindu Muhammad Imam Utomo, Bedjo Wanto, Sulis Waras, Nandang Gunawan Tungga Wardhana, Dimas Aditya Putra Wildan Maulana Akbar Wishnuprakasa, Ardhia Wishnuprakasa, Ardhia wk, Ridwan Yeheskiel Rante Payung Yunanto, Bagus Yunanto, Prasetyo Wibowo Zahro Zachari Zerlina, Safa Aulia