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MPPT Based on Fuzzy Logic Controller (FLC) for Photovoltaic (PV) System in Solar Car Aji, Seno; Ajiatmo, Dwi; Robandi, Imam; Suryoatmojo, Heri
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 4, No 2 (2013)
Publisher : Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2013.v4.127-134

This paper presents a control called Maximum Power Point Tracking (MPPT) for photovoltaic (PV) system in a solar car. The main purpose of this system is to extracts PV power maximally while keeping small losses using a simple design of converter. Working principle of MPPT based fuzzy logic controller (MPPT-FLC) is to get desirable values of reference current and voltage. MPPT-FLC compares them with the values of the PV's actual current and voltage to control duty cycle value. Then the duty cycle value is used to adjust the angle of ignition switch (MOSFET gate) on the Boost converter. The proposed method was shown through simulation performed using PSIM and MATLAB software. Simulation results show that the system is able to improve the PV power extraction efficiency significantly by approximately 98% of PVâ€™s power.

Optimization of AVR in Micro-hydro Power Plant Using Differential Evolution (DE) Method Firmansyah, Rio; Ali, Machrus; Ajiatmo, Dwi; Raikhani, Agus; Siswanto, Makhaban
Frontier Energy System and Power Engineering Vol 2, No 1 (2020): JANUARY
Publisher : Universitas Negeri Malang

Micro-hydro Power Plant had three primary components: water (as the energy resource), turbine, and generator. Water that flew in a specific capacity was channeled from a certain height to the installation house (turbine house). In the powerhouse, the water installation pounded the turbine that made the turbine received direct energy from the water and turn it into mechanical energy and caused the turbine shaft to spin. Changes in the loading could cause fluctuation in the systemâ€™s frequency and voltage. This problem could damage electrical equipment. Therefore, the Automatic Voltage Regulator (AVR) was used to control and stabilize the voltage. This research used PID controller to obtain the optimized control parameter in the Micro-hydro Power Plant. This research compared the simulations of without control method, with PID-ZN control method, and with PID-DE method to obtain the best control method. The comparison simulations showed that the best response in the micro-hydro plant and the AVR system was from the PID-DE controller. These results might be a reference for future research with other methods that might generate better results. Â Â

Desain Lampu Cerdas Berbasis Arduino Nano Untuk Kondisi Bencana Ajiatmo, Dwi; Malik, Fahad Abdul; Raikhani, Agus
BEES: Bulletin of Electrical and Electronics Engineering Vol 4 No 2 (2023): November 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bees.v4i2.4302

This research offers the manufacture of an emergency light prototype using Arduino Nano as the main controller. This prototype uses a buck converter in collaboration with an Arduino Nano to regulate the duty cycle with Pulse Width Modulation, based on feedback from voltage and current sensors. MOSFETs are used to regulate the voltage from a 10 Wp solar panel using the PWM method which is controlled by Arduino Nano. This buck converter is an inverting type because it changes the position of the supply voltage. Maximum Power Point Tracking (MPPT) technique is used to optimize energy from solar cells by finding optimal working points, ensuring maximum efficiency. This research also uses a 3.7 V lithium battery with a capacity of 18,650 mAh as a load for a series of prototype lights with the Joule Thief concept. The Joule Thief circuit is a minimalist oscillating voltage amplifier that is economical and easy to make, suitable for driving LED lights or DC dynamos. The results of this research show that the DC-DC MPPT buck converter based on the Arduino nano microcontroller can work well. By setting the duty cycle to 80 percent and a frequency of 62.5 kHz, current and voltage measurements produce an output of 4.95 volts - 5 volts.

Optimasi Kontrol Suhu Tungku Pemanas Menggunakan Metode Firefly Algorithm (FA) Rizal Anas, Febrian; Ajiatmo, Dwi; Nurohmah, Hidayatul; Ali, Machrus
Jurnal FORTECH Vol. 4 No. 2 (2023): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56795/fortech.v4i2.4203

A furnace is a piece of equipment used to heat or change shape. Process control is becoming increasingly important in industry, as a consequence of global competition. Year after year, furnaces have progressed in both industrial processes and equipment. The tuning process ensures that system performance meets operating objectives. Intelligent control based on Artificial Intelligent (AI) has developed a lot to improve conventional control to control voltage loads and is always under constant variable assessment. The research results show that the best optimization method is produced by the PID-FA method which produces overshoot = 0.0721, undershoot 0.0081, and settling time at 30.4283 seconds. The PID-FA method produces better performance, according to the desired settings, so that fuel use can have a high level of efficiency

Aplikasi Algoritma Differential Evolution untuk Desain Optimal Load Frequency Control pada Pembangkit Listrik Tenaga Hibrid Angin dan Diesel Djalal, Muhammad Ruswandi; Ali, Machrus; Nurohmah, Hidayatul; Ajiatmo, Dwi
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 5 No 5: Oktober 2018
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Perubahan fluktuasi frekuensi sangat mempengaruhi kualitas daya pada sumber energi terbarukan turbin angin yang dihibrid dengan diesel. Sistem hibrid adalah jaringan terkontrol dari beberapa pembangkit tenaga energi terbaharukan seperti : turbin angin, sel surya, mikrohidro dan sebagainya. Ada beberapa permasalahan yang dapat meningkatkan osilasi frekuensi rendah, seperti tidak optimalnya setting gain dan kecilnya waktu konstan pada Automatic Voltage Regulator, Terlalu banyak jaringan transmisi yang panjang sehingga kemampuan lemah (weak line). Dalam penerapannya sistem wind-diesel dikontrol dengan kontroler PID, namun dalam penyetelan nilai gain dari PID masih dalam metode trial-error saja, sehingga sulit untuk mendapatkan nilai optimum dari PID. Dalam penelitian ini diterapkan desain kontrol dengan menggunakan Metode Cerdas dalam mencari nilai optimum Proporsional Intergral Derivatif (PID) untuk mengatur frekuensi beban dengan program Matlab/ Simulink. Pemodelan wind-diesel menggunakan fungsi transfer dari diagram turbin angin dan diesel. Respon sistem dengan Simulink/ Matlab dengan membandingkan dengan sistem tak terkontrol dan dengan metode PID-Trial Error, menunjukkan bahwa besar overshoot dan respon keadaan mantap (Settling Time) pada sistem terkontrol Differential Evolution (DEVO) menjadi berkurang dan lebih cepat.AbstractChanges in load frequency greatly affect the power quality of renewable wind turbine energy sources with diesel. Hybrid power system is a network consisting of several renewable energy plants such as wind power, solar power, hydro power, and others. Some problems can increase the low frequency oscillations in the system, such as gain settings and small time constants of the non-optimal Automatic Voltage Regulator, long transmission lines so that their capabilities are weak (weak line). In some previous studies, the wind-diesel system is controlled by conventional Proportional, Integral, Derivative (PID) controllers, but the PID gain setting is still in the trial-error method, making it difficult to obtain optimal PID values. In this research, we proposed a method of optimizing PID parameters in wind-diesel by using intelligent method based on Differential Evolution (DEVO). The objective function of this research is to minimize Time Absolute Error (ITAE), so that the overshoot will be muted properly. Wind-diesel modeling uses the diagram of the transfer function of wind-diesel. From the analysis results obtained optimal PID parameters respectively, Kp = 79.9999, Ki = 59.9998, Kd = 9.9006. The smallest resulting overshoot is -7.932e-05 to 6.792e-10 pu where the smallest overshoot value is compared to other controller models. The frequency response obtained by optimal PID tuning will dampen the frequency oscillation due to load changes, indicated by small overshoot and fast settling time to steady state conditions.

Optimasi Kontrol Suhu Tungku Pemanas Menggunakan Metode Firefly Algorithm (FA) Rizal Anas, Febrian; Ajiatmo, Dwi; Nurohmah, Hidayatul; Ali, Machrus
Jurnal FORTECH Vol. 4 No. 2 (2023): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56795/fortech.v4i2.4203

A furnace is a piece of equipment used to heat or change shape. Process control is becoming increasingly important in industry, as a consequence of global competition. Year after year, furnaces have progressed in both industrial processes and equipment. The tuning process ensures that system performance meets operating objectives. Intelligent control based on Artificial Intelligent (AI) has developed a lot to improve conventional control to control voltage loads and is always under constant variable assessment. The research results show that the best optimization method is produced by the PID-FA method which produces overshoot = 0.0721, undershoot 0.0081, and settling time at 30.4283 seconds. The PID-FA method produces better performance, according to the desired settings, so that fuel use can have a high level of efficiency

Optimasi Kinerja Motor Sebagai Penggerak Belt Conveyor Berbasis Modified Firefly Algorithms Puji Astoro, Fany Wahyu; Ali, Machrus; Ajiatmo, Dwi
SinarFe7 Vol. 7 No. 1 (2025): SinarFe7-7 2025
Publisher : FORTEI Regional VII Jawa Timur

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

Abstract - Modern manufacturing industries require reliable and efficient drive systems, including three-phase induction motors in belt conveyors that ensure continuous material distribution. This study investigates the performance of a 1.5 kW three-phase induction motor at PT. Dayasa Aria Prima, which faces high-load conditions and frequent trips on the Thermal Overload Relay (TOR) due to significant current surges when loads exceed 80% capacity, leading to stator overheating and operational shutdown. A quantitative-experimental approach was applied by measuring current and voltage under varying loads to determine safe operating limits and optimal protection settings. A conveyor system model was developed using electrical engineering parameters, and a PID controller was optimized with a Modified Firefly Algorithm (MFA) in MATLAB. The MFA was enhanced with dynamic adaptation and additional exploitation operators to improve convergence speed and robustness against local optima. Results indicate a safe operating load range of 1.3–1.4 kW, with the MFA-optimized PID controller stabilizing conveyor speed, increasing control efficiency by 11.6%, and reducing overload risk by 42% compared to conventional control. The novelty lies in the application of MFA using real industrial field data, the integration of experimental measurements with numerical simulations for precision improvement, and the enhancement of MFA for faster convergence and better stability. This research offers practical value for industries dependent on belt conveyors by providing an adaptive, energy-efficient motor control strategy that minimizes downtime, extends motor lifespan, and reduces operational costs.

DESAIN OPTIMASI LFC PADA MICRO-HYDRO MENGGUNAKAN METODE ANT COLONY OPTIMIZATION (ACO) Ajiatmo, Dwi; Raikhani, Agus
Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Vol. 1 No. 1 (2017): PROSIDING SEMNAS INOTEK Ke-I Tahun 2017
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/inotek.v1i1.354

Sistem mikro-hidro sering dipilih karena memiliki keunggulan ekonomis, teknis, dan ramah lingkungan. Pembangkit Mikro-hidro cocok untuk digunakan di daerah yang sulit atau jauh dari jangkauan jaringan listrik. Sering terjadi masalah di pembangkit mikro-hidro terutama ketidak stabilan penyaluran yang disebabkan oleh perubahan beban. Sehingga menyebabkan fluktuasi frekuensi dalam sistem yang dapat mengakibatkan peralatan listrik rusak. Oleh karena itu dalam penelitian ini mengoptimalkan frekuensi controller dengan pengaturan PID controller untuk mengatur Load Frequency Control (FLC). Untuk mendapatkan parameter optimal PID kontroler kemudian digunakan beberapa metode untuk perbandingan metode. Perbandingan antara metode pengendalian tanpa kontroler, PID dengan konvensional Ziegler-Nichols, PID Auto Tuning dengan Matlab dan dengan PID disetel Ant Colony Optimization (ACO). sistem pembangkit listrik tenaga mikro hidro dalam penelitian ini menggunakan generator induksi, servo dioperasikan sebagai gubernur, dan beberapa komponen. Pembangkit ini dimodelkan dalam simulasi menggunakan program Matlab-Simulink. Hasil simulasi Menunjukkan bahwa aplikasi tuning PID-ACO mempunyai waktu respon frekuensi tercepat dan overshoot respon terkecil.

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