Mochammad Rameli
Departemen Teknik Elektro Fakultas Teknologi Elektro Institut Teknologi Sepuluh Nopember

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Perancangan dan Implementasi Kontroller PID-Fuzzy untuk Menjaga Stabilitas Nilai Frekuensi Tegangan Terbangkit pada Pembangkit Listrik Kapasitas 1kva dengan Penggerak Utama Motor bakar 4-tak Muhammad Syahputra Oktojunaswar; Mochammad Rameli; rusdhianto effendie abdul kadier
Jurnal Teknik ITS Vol 1, No 1 (2012)
Publisher : Direktorat Riset dan Pengabdian Masyarakat (DRPM), ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (499.438 KB) | DOI: 10.12962/j23373539.v1i1.164

Abstract

Penelitian ini membahas masalah kontrol frekuensi tegangan terbangkit pada Generator set dengan kondisi beban berubah. Frekuensi tegangan terbangkit berhubungan dengan kecepatan putar penggerak utama. Generator set yang digunakan pada penelitian ini memiliki penggerak utama mesin bensin 4-tak dengan sistem bahan bakar menggunakan karburator dan kapasitas 1KVA. Metode kontrol yang digunakan adalah PID-fuzzy. Hal ini dikarenakan PID konvensional kurang cocok untuk plant non-linear sehingga diperlukan mekanisme penalaan parameter PID untuk menyesuaikan dengan kondisi plant. Sistem Fuzzy melakukan penalaan parameter PID melalui informasi perubahan beban. Apabila terjadi perubahan beban, Fuzzy akan mengubah parameter PID. Kontroller PID-fuzzy mampu mengatasi perubahan frekuensi dengan cepat. Dari pengujian kontroler pada plant didapatkan rata-rata waktu kembali frekuensi ke setpoint 0.5 sekon. Perubahan Frekuensi rata-rata saat dilakukan pengubahan beban dengan jumlah berbeda yaitu 5.37%.
Load Frequency Control (LFC) Menggunakan Metode Noise-Tolerable PID Feedback pada Power Generation Plant Simulator PLTU PT. Pembangkitan Jawa dan Bali (PJB) Unit Pembangkitan (UP) Paiton Rahmadhi Prihandono; Mochammad Rameli
Jurnal Teknik ITS Vol 5, No 2 (2016)
Publisher : Direktorat Riset dan Pengabdian Masyarakat (DRPM), ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1027.721 KB) | DOI: 10.12962/j23373539.v5i2.16401

Abstract

Frekuensi sebesar 50 Hz harus dijaga agar memberikan kualitas energi listrik yang baik. Pengaruh dari switching pada sisi beban akan membuat frekuensi energi listrik menjadi fluktuatif. Nilai frekuensi yang fluktuatif akan membuat fungsi derivatif pada kontroler Proportional Integral Derivative (PID) menjadi sangat besar, sehingga akan mempengaruhi sinyal kontrol. Nilai tersebut memaksa aktuator bekerja sangat cepat dan akan mengurangi masa pemakaian aktuator. Penambahan filter pada kontroler PID untuk sistem pengaturan pembangkitan energi listrik mampu meredam noise yang timbul akibat fluktuasi beban. Penambahan Low Pass Filter (LPF) pada sisi derivatif memberikan redaman noise begitu pula menggunakan fungsi Averaged Derivative (AD). Dengan beban acak yang dimodelkan dengan Pseudo Random Binary Sequences (PRBS), nilai kesalahan dengan perhitungan Integral Absolute Error (IAE) terkecil dimiliki oleh PID dengan averaged derivative sebesar 110,246 Hz dan PID dengan low pass filter sebesar 110,486 Hz
Pengaturan Kecepatan Motor Induksi Tiga Fasa Menggunakan Metode Flux Vector Control Berbasis Self-Tuning PI Ferry Arvianto; Mochammad Rameli
Jurnal Teknik ITS Vol 6, No 2 (2017)
Publisher : Direktorat Riset dan Pengabdian Masyarakat (DRPM), ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (751.995 KB) | DOI: 10.12962/j23373539.v6i2.25079

Abstract

Motor induksi tiga fasa adalah penggerak elektrik yang  banyak digunakan di dunia industri karena konstruksinya yang kokoh, perawatan yamg mudah, dan lebih ekonomis dibandingkan motor jenis lain dengan kapasitas data yang sama. Keunggulan yang banyak itu juga diimbangi dengan kelemahan berupa sulitnya motor induksi dalam hal pengontrolan kecepatan dibandingkan dengan motor jenis DC. Motor induksi tiga fasa sulit dikontrol kecepatannya karena motor ini tidak linier dan parameter motornya dapat berubah-ubah yang disebabkan oleh suhu, saturasi magnetik, dan frekuensi. Penggunaan metode flux vector control dengan ontroler Self-Tuning Regulator Tipe PI dipilih untuk mendapatkan pengaturan kecepatan motor induksi yang baik. Metode flux vector control akan membuat motor induksi tiga fasa bisa dikontrol seperti motor dc penguatan terpisah. Sedangkan penggunaan Self-Tuning Regulator digunakan untuk mengatasi perubahan parameter motor induksi. Sistem yang sudah dibuat disimulasikan di MATLAB  dan hasil simulasi menunjukkan bahwa dengan menggunakan kontroler Self-Tuning Regulator Tipe PI lebih baik dibandingkan menggunakan kontroler PI konvensional, dimana kecepatan motor mampu mengikuti referensi kecepatan yang diberikan meskipun  diberi pembebanan dan perubahan resistansi stator.
PERANCANGAN MODEL PREDICTIVE TORQUE CONTROL UNTUK PENGATURAN KECEPATAN MOTOR INDUKSI DENGAN ROBUST STATOR FLUX OBSERVER Halim Mudia; Mochammad Rameli; Rusdhianto Efendi
J I M P - Jurnal Informatika Merdeka Pasuruan Vol 3, No 1 (2018): MARET
Publisher : Fakultas Teknologi Informasi Universitas Merdeka Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (633.487 KB) | DOI: 10.37438/jimp.v3i1.84

Abstract

Secara umum dalam dunia industri, motor induksi lebih banyak digunakan daripada motor arus searah. Dikarenakan sifat motor induksi yang kokoh, handal, mudah dalam perawatan, dan harga relatif murah. Tapi pengendalian pada motor induksi lebih komplek dibandingkan dengan motor arus searah, karena disebabkan oleh kompleksitas dinamika motor induksi, sehingga algoritma pengaturannya lebih komplek. Berdasarkan masalah tersebut penulis malakukan penelitian pada motor induksi menggunakan metode Model Predictive Torque Control (MPTC) dengan Robust Stator Flux Observer, dimana Robust Stator Flux Observer dirancang untuk mengatasi kekurangan pada Direct Torque Control (DTC) konvensional, yang dapat menimbulkan fluktuasi ripplefluks dan torsiyang tinggi paada saat kondisi steady state. Jadi dari tujuan metode yang diusulkan, hasil dari sistem yang dirancang dapat menyesuaikan kecepatan putaran motor induksi sesuai referensi yang diberikan yaitu 120 rad/s dengan waktu penyelesaian 0.753 detik, dan juga dapat meminimalkan fluktuasi ripple fluks dan torsi. Kata kunci - Motor Induksi, Direct Torque Control, Model Predictive Control, Robust Stator Flux Observer, Matlab
Ladder Diagram Design Based On Cascade Method For Selection And Assembling Part On Dual Conveyor Plant Eka Iskandar; Mochammad Rameli; Rafly Adiyat
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 2, No 2 (2018): October
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25796216.v2.i2.50

Abstract

Abstract— The transfer of goods from one place to another in the production process in a common industry we encounter using conveyors. Conveyors have replaced human labor used in moving production goods from one place to another in the industry. By using conveyors, the transfer time can be reduced and not dependent on humans anymore. Conveyor control can use a controller in the form of a PLC. PLC programming can use many methods, one of which is the cascade method. The beginning of the development of this method is widely used in pneumatic systems, but as time goes by this method is used in completing sequential systems. The ideal cascade method is used for sequential processes without an iterative process, the theory is easy to understand, the results are easy to implement. In this study the type of PLC used is CPM1 from OMRON. By using Cascade method, the result from construction of ladder diagram is obtained by 59 rung, 6 timer, 18 relay, and the program capacity is 3 KB.Keywords: Conveyor, PLC, Ladder diagram, Cascade method, relay group.
Model Predictive Control of Autonomous Underwater Vehicles Based on Horizon Optimization sudirman sudirman; Mochammad Rameli; Rusdhianto Effendi
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 4, No 1 (2020): April
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25796216.v4.i1.109

Abstract

Heading control of Autonomous Underwater Vehicle (AUV) using Model Predictive Control (MPC) gives a good performance. Varying the length of the horizon provides a variety of performance. This paper is made in order to find out how many optimal horizons are needed to obtain the highest efficiency of energy use in AUV. Test results show a positive correlation between the length of the horizon and the amount of energy used. The optimal horizon obtained is then tested on several different trajectories.Keywords: autonomous underwater vehicle, horizon optimizatoin, model predictive control.
Artificial Neural Network Approach for Parameter Estimation in PI Self Tunning Regulator (PI-STR) method on Process Rig 38-714 Pressure Control Eka Iskandar; Mochammad Rameli; Ali Fatoni; Febry Angga Gunawan
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 3, No 1 (2019): April
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25796216.v3.i1.66

Abstract

In a pressure process control system when the system is loaded or when the load is released from the system, there will be a change in the system response form. Changes in the form of the response because the load or release of the load changes the dynamics of the system. In the controller industry commonly used are conventional PI or PID. However, due to the large variations in load, the PID controller is unable to meet the specifications. Adaptive settings are one of the regulatory methods in which controllers can respond to modify their behavior due to changes in dynamics due to loading and characteristics of interference. Self-Tunning Regulator (STR) is an adaptive arrangement scheme. Parameter estimation is one part of STR. In this paper the implementation of STR with parameter estimation using the neural network approach (NN STR) is carried out on the pressure regulation system in the Process Rig 38-741. The test results showed that the nominal load condition of NN STR with learning rate = 25 had the closest performance to the design results with a overshoot value of 23.7% and the settling time of 283.8 seconds was in accordance with the specifications of the desired range. In testing with the condition of changes in NN STR load with a learning rate = 20 shows the best performance against all the criteria used. While for testing the nominal load on the variation of NN set-point STR with learning rate = 10 shows the best performance on all the criteria used.Keywords:artificial nerual network, PI, pressure process rig 38-714, self-tuning regulator.
Ladder Diagram based on State Diagram for Selection and Assembling Part on Dual Conveyor Eka Iskandar; Mochammad Rameli; Nicco Nicco
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 1, No 2 (2017): October
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25796216.v1.i2.19

Abstract

In industry, conveyor is a means of transportation to move production materials. Conveyor not just move the goods but there are other processes such as counting the number of goods, filling the liquid and so forth because it is equipped with certain sensors and actuators. These processes can be automated by using PLCs as controllers by executing instruction programs in the form of ladder diagrams. The complexity of automation processes in conveyors requires the use of many relays in PLC programming and is difficult to apply to low-specification PLCs. Of course the procurement of PLC with high specifications require a lot of money. In order to overcome these problems it is necessary a method that can minimize the number of relays used so that the program becomes shorter. By using state diagram, the result of construction of ladder diagram is obtained by 32 rung and the program capacity is 3 KB.Keywords: Conveyor, Flow-Table/State Diagram, Ladder Diagram, PLC, Rung.
Implementation of Mamdani Fuzzy Logic Control System on DC Motor Speed Controller Basilio Mendonca Freitas; Mochammad Rameli; Rusdhianto EAK
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 1, No 2 (2017): October
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25796216.v1.i2.18

Abstract

Abstract— Drive system is an important role important role in industrial processes, especially in electrical control. Maintaining a DC motor speed is a control system task that requires several method. Generally, set-point is defined as point of demand, and its comparation against process value (current speed) resulted in error. Both error and delta-error are two parameters required to the control system to determine system behavior in correction action. Such system of controller is a useful component to suppress the error signal so that the desired performance can be obtained. This research designs system of DC motor rotation speed control using Arduino Uno microcontroller to meet control specification on laboratory scale, implementing control application and Fuzzy Control System as control system algorithm.Because of its ability to be easily modeled using human intuitive, adaptive, does not require complex mathematical equations, not limited to linear or constant systems, and easily adapted to human input, Mamdani Fuzzy Logic Control System is used. Keywords: Mamdani Inference Engine, Fuzzy Logic, Arduino Uno, Rotation Speed Control, DC Motor