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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

Author-ID : 2487149

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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Pengembangan Metoda Self Tuning Parameter PID Controller dengan Menggunakan Genetic Algorithm pada Pengaturan Motor Induksi sebagai Penggerak Mobil Listrik Era Purwanto; Ananto Mukti Wibowo; Soebagio Soebagio; Mauridhi Hery Purnomo
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2009
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Pada saat ini PID kontroller masih banyak digunakan di berbagai sektor industri, karena ketangguhannyauntuk menghandel permasalahan yang ada di industri, tetapi terdapat satu kekurangan yaitu metode tuning,proses tuning harus dilakukan dengan cara coba - coba. Prosedur tuning lebih banyak dilakukan secara manualdengan metode trial and error yang belum tentu benar, untuk mengatasi permasalahan tersebut dibutuhkansuatu pendekatan alternatif yang dapat mencapai suatu tingkat automasi dari proses tuning dan orang yangmelakukan proses tuning tidak harus memiliki pengetahuan luas mengenai sistem pengaturan. Dalam kasus inimetode alternatif yang digunakan adalah Genetic Algorithm (GA). GA diimplementasi untuk mendapatkankombinasi parameter P,I, dan D dari kontroler PID dalam simulasi pengaturan kecepatan motor induksi tigafasa sehingga kecepatan motor dapat dipertahankan agar sama dengan kecepatan referensi dalam steady-state.Hasil dari simulasi yang dilakukan menunjukkan bahwa repons kecepatan yang dihasilkan sangatlah bagus.Kata Kunci: self-tuning, genetic Algorithm,dq-model,vector control

Pengembangan Penggunaan Metoda Penelusuran Tabu untuk Pemilihan Membership Function Fuzzy Logic Control pada Pengaturan Kecepatan Motor Induksi Era Purwanto; SATO Yukihiko; Mauridhi Hery Purnomo; Subagio Subagio; Makoto Chiba; Gigih Prabowo
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2005
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

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Kontroler logika fuzzy telah banyak dikembangkan untuk mengatasi masalah pengaturan kecepatan padamotor induksi. Ada beberapa kendala yang dihadapi kalau menggunakan kontroler logika fuzzystandar/konvensional dalam menentukan fungsi keanggotaannya dan rule base yang sesuai dengan sistemkontrol yang diinginkan.Teknik optimasi penelusuran “tabu” (tabu search) dapat digunakan untuk mengatasi kendala padakontroler logika fuzzy tersebut supaya rule base kontroler logika fuzzy dapat mengatur dirinya sendiri secaraotomatis ketika terjadi perubahan beban pada motor induksiMetode penelusuran tabu bisa membuat rule base kontroler logika fuzzy mengatur dirinya sendiri yangdigunakan pada pengaturan kecepatan motor induksi dan hasil performansi sistem ini menunjukkan maximumovershoot kurang dari 2%, settling time kurang dari 2 detik, rise time kurang dari 2 detik dan error steady statekurang dari 2%.Kata kunci: kontroler logika fuzzy, rule base, penelusuran tabu

Low Cost Health Monitoring Sytem Based on Internet Of Things Using Email Notification I Dewa Gede Hari Wisana; Bedjo Utomo; Farid Amrinsani; Era Purwanto
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 3 No 2 (2021): May
Publisher : Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v3i2.2

Monitoring activities are needed if there are symptoms of a disease that require quick action so that the patient's condition does not get worse, for that we need a system that can notify doctors so they can take action. The patient monitoring system in hospitals is generally still carried out conventionally, among others, nurses or doctors come to the patient's room to check on the progress of the patient's condition, this will be a problem, if the number of medical personnel and facilities is insufficient to monitor. Patients who need special attention for patient care, such as monitoring the patient's breathing rate. The use of the internet of things (IOT), as a device that can work without the help of people, can perform tasks and provide easier and real time data, so that they can access output directly. The purpose of this research is to design an inexpensive health monitoring tool based on the Internet of Things (Respiration Parameters) using a piezoelectric sensor and an ESP32 Wi-Fi module. From the results of the module design taken from 10 respondents, obtained that the average measurement high accuracy (17.76 + 0.61) and the average level of stability of the design has a magnitude of 0.4 so that it can be concluded that using a piezoelectric sensor in this series can obtain good accuracy. This the design can be used to monitor a person's respiration in real-time

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)

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)

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)

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, itâ€™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 itâ€™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.

Jaringan Syaraf Tiruan Untuk Pengenalan Citra Sidik Jari Pada Smart Home Berbasis MYSQL Nur Yanti; Fathur Zaini Rachman; Nurwahidah Jamal; Era Purwanto; Fachrurozy Fachrurozy
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 5 No 5: Oktober 2018
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Sistem keamanan yang bertujuan sebagai sistem monitoring pada smart home seperti memonitoring pengguna laboratorium, perpustakaan, atau ruangan penyimpanan dan peminjaman peralatan praktek di program studi suatu kampus, ruang penyimpanan senjata, hingga rumah tinggal, memerlukan sekuritas yang handal untuk memudahkan identifikasi pengguna ruangan atau pencegahan dari tindak pencurian, maka dirancang sistem monitoring melalui pengenalan citra sidik jari menggunakan sensor ZFM60, jaringan syaraf tiruan dan MySQL. Tujuannya agar di dapat pola yang relevan dari citra dan mengeliminasi informasi atau variabel yang tidak relevan. Metode yang digunakan yaitu experimental, terdiri dari pengumpulan data sidik jari, perancangan sistem pengolahan citra, pembuatan dan pengujian hardware dan software, serta implementasi sistem. Hasil proses pengenalan atau klarifikasi citra sidik jari melalui GUI Matlab, nilai error hasil pengolahan dan pelatihan citra sidik jari dengan jaringan syaraf tiruan, digunakan sebagai ciri citra dan disimpan sebagai data base pada MySQL, kemudian dibandingkan dengan nilai error citra sidik jari baru yang di klarifikasi. Nilai citra yang dapat dikenali berada diantara -0,0005 hingga 0,0005, diluar batas tersebut merupakan citra yang tidak dikenali. Selisih (nilai error) antara ciri citra yang tersimpan pada data base dan ciri citra yang diklarifikasi menghasilkan nilai error yang kecil yaitu < 0.0005, menunjukkan jaringan syaraf tiruan backpropagation handal diimplementasikan pada pengenalan sidik jari untuk melatih pola citra dari sidik jari. Konfigurasi jaringan yaitu maksimal epoch = 3000, learning rate = 1, target error = 0.1, hidden layer = 17. Pelatihan jaringan syaraf tiruan pada konfigurasi tersebut menghasilkan nilai error terkecil dari ciri citra sebesar 0.0000085. Abstract The security system that aims as a monitoring system in smart home such as monitoring laboratory users, libraries, or storage rooms and borrowing practical equipment in the study program of a campus, weapons storage room, to a residence, requires reliable securities to facilitate identification of room users or prevention from theft, it is designed a monitoring system through fingerprint image recognition using ZFM60 sensors, artificial neural networks and MySQL. The goal is to get relevant patterns from the image and eliminate irrelevant information or variables. The method used is experimental, consisting of fingerprint data collection, image processing system design, hardware and software manufacturing and testing, and system implementation. The result of the process of recognition or clarification of fingerprint images through the Matlab GUI, the error value of processing and training of fingerprint images with artificial neural networks, is used as a feature of the image and stored as a data base on MySQL, then compared with the error value of the new fingerprint image that is clarified. The recognizable image value is between -0,0005 to 0,0005, beyond this limit is an unrecognized image. The difference (error value) between the characteristics of the image stored in the data base and the clarified image feature produces a small error value of <0.0005, indicating a reliable backpropagation artificial neural network is implemented in fingerprint recognition to train the image pattern of fingerprints. Network configuration is maximum epoch = 3000, learning rate = 1, target error = 0.1, hidden layer = 17. Artificial neural network training in the configuration produces the smallest error value of the image characteristics of 0.0000085.

Static and Dynamic Performance of Vector Control on Induction Motor with PID Controller: An Investigation on LabVIEW Abdillah Aziz Muntashir; Era Purwanto; Bambang Sumantri; Hanif Hasyier FAkhruddin; Raden Akbar Nur Apriyanto
Automotive Experiences Vol 4 No 2 (2021)
Publisher : Automotive Laboratory of Universitas Muhammadiyah Magelang in collaboration with Association of Indonesian Vocational Educators (AIVE)

A three-phase induction motor is often used in everyday life because of its high reliability. However, it is associated with some disadvantages, including difficulties in maintaining constant speed during load changes and speed regulation due to the decoupled system. Therefore, this study aims to adjust the three-phase induction motor control to become a separate amplifier DC motor by setting the vector control using the IFOC method, which changes the coupled to the decoupled system. The speed settings are equipped with a PID controller where its parameters, which are obtained using Ziegler Nichols, produce speed output with fast research time and small steady-state errors. This research was conducted to observe and analyze the performance of a controller based on the IFOC approach with a PID controller at speed differences, with static and dynamic conditions in the entire speed working area. In the first stage of the research, simulation is carried out with static conditions, namely changes in speed variations throughout the work area (low speed to high speed), the next stage is a simulation with dynamic conditions, which is to provide changes in the value of the load torque when the system is operating. The simulation result carried out with LabVIEW shows a response time of 1.13 ms, a settling time of 9.9 ms, and a steady error of 0.4% at the 500 Rpm set point. It also indicated dynamic characteristics with a recovery time of 4.9 ms at the 300 Rpm set point. When operated at low speed, IFOC with PID controller has a stable response. But In dynamic conditions, the use of a PID controller is considered unsuitable. This is because the PID controller is less fast and less robust in responding to the system when conditions change in the value of the load torque.

PENGGUNAAN METODA SLIDING MODE CONTROL PADA PENGATURAN MOTOR INDUKSI 3 PHASA DENGAN DIRECT TORQUE CONTROL Ade Rochmanu; Era Purwanto; Endro Wahjono
Technologic Vol 6, No 1 (2015): Technologic
Publisher : Politeknik Manufaktur Astra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52453/t.v6i1.71

Motor induksi banyak digunakan di industri, namun dalam penggunaannya motor induksi memiliki hal-hal yang kurang menguntungkan seperti nilai overshoot tinggi, settling time lama saat start dan bila terjadi pembebanan kecepatan motor induksi akan turun. Sliding mode control diperkenalkan dengan mengambil keuntungan dari karakteristik switching inverter untuk mengontrol mesin elektrik yang akan menghasilkan overshoot rendah dan settling time yang pendek dengan bentuk transient dan steady state yang baik. Sliding mode control didesain untuk beroperasi melebihi variable yang sama seperti digunakan pada metode DTC. Untuk meningkatkan performa putaran motor induksi pada kondisi ada gangguan, control putaran dengan sliding mode control akan diuraikan, dimana jenis control ini robust pada saat terjadi gangguan dengan variasi parameter dan torsi beban berubah. DTC digunakan sebagai paramater kontrol, untuk mencari torsi, fluks dan sudut yang nantinya akan digunakan sebagai penyulut inverter. Untuk kecepatan diambil dari kecepatan estimator, error dan delta error kecepatan putar sebagai masukan pada SMC. Hasil dari simulasi kondisi berbeban, saat starting overshootnya 83 rad/s, time settlingnya 0.12s dan time risenya 0.02s. Pada kondisi perubahan beban, respon hampir tidak mengalami perubahan kecepatan atau bisa dikatahkan respon kecepatan stabil bila ada gangguan meskipun terdapat osilasi atau ripple.

DESIGN SIMULATION OF THREE PHASES INDUCTION MOTOR CONTROL BASED ON DTC Fera Erawati; Ade Rochmana; Ardhia Wishnuprakasa; Era Purwanto
Technologic Vol 6, No 1 (2015): Technologic
Publisher : Politeknik Manufaktur Astra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52453/t.v6i1.72

For instance, the scalar control is a variable regulation of volt per hertz to sets the magnitude scaling of the motor, of course by linearization of two parameters that is voltage and frequency, which sets to a constant ratio for the only concept of scalar control. In contrast, this method has the disadvantages that cannot decrease or increase the speed range from lower voltage of low speed or upper limit voltage of high speed, due to a certain regions are experiencing issues in constant ratio precision because of switch loss. The resulting output signal is not only has a high harmonic which would lead to losses in the form of heat, but is also causes poor performance at low frequency. For investigation, we used simulation using Direct Torque Control or also called DTC. The application of DTC, becoming one of the motor drive method of induction motor, and would produce the efficient power consumption because of switching pattern based on vector voltage. For simulation result, we use the test techniques when unencumbered and when burdened by parameters of rise time value, settling time value, and set point value.

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 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, MOCHAMAD ARI BAGUS 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

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