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Energy Monitoring and Control of Automatic Transfer Switch between Grid and Solar Panel for Home System Joko Slamet Saputro; Hari Maghfiroh; Feri Adriyanto; Muhammad Renaldy Darmawan; Muhammad Hamka Ibrahim; Subuh Pramono
International Journal of Robotics and Control Systems Vol 3, No 1 (2023)
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/ijrcs.v3i1.843

Abstract

In this digital age, most aspects of life require an electric supply. The availability of electrical power is very critical to maintaining the continuity of the system in various applications. To maintain system continuity, the Energy Monitoring and Control of an Automatic Transfer Switch (ATS) between the Grid and Solar Panel is proposed. The system consists of an Automatic Transfer Switch, Home Solar Power Plant, and Automatic Charging. The function of the monitoring system is to monitor the voltage, current, and power across the device, the operation mode of the ATS, and the State of Charge (SoC) of the battery. The control system is to control the operation mode of ATS according to the energy source selected by the user on the Internet of Things (IoT) interface. The results show that the system can successfully monitor solar panel conditions, AC output, and battery's State of Charge through Blynk IoT. The ATS works automatically with a switching delay of 20ms to 26ms, while on the user's command, the average switching delay is 303.33ms to activate the relay and 185ms to deactivate the relay.
Design and Application of PLC-based Speed Control for DC Motor Using PID with Identification System and MATLAB Tuner Dodi Saputra; Alfian Ma'arif; Hari Maghfiroh; Phichitphon Chotikunnan; Safinta Nurindra Rahmadhia
International Journal of Robotics and Control Systems Vol 3, No 2 (2023)
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/ijrcs.v3i2.775

Abstract

Industries use numerous drives and actuators, including DC motors. Due to the wide-ranged and adjustable speed, DC motor is widely used in many industries. However, the DC motor is prone to external disturbance and parameter changes, causing its speed to be unstable. Thus, a DC motor requires an appropriate controller design to obtain a fast and stable speed with a small steady-state error. In this study, a controller was designed based on the PID control method, with the controller gains tuned by trial-and-error and MATLAB Tuner with an identification system. The proposed controller design was implemented using PLC OMRON CP1E NA20DRA in the hardware implementation. Each tuning method was repeated five times so that the system performances could be compared and improved. Based on hardware implementation results, the trial-error method gave acceptable results but had steady-state errors. On the other hand, the use of MATLAB Tuner provided fast system responses with no steady-state error but still had oscillations with high overshoot during the transition. Therefore, the PID controller gains acquired from MATLAB Tuner must be tuned finely to get better system responses.
Caring jacket: health monitoring jacket integrated with the internet of things for COVID-19 patients Hari Maghfiroh; Daru Kusumastuti; Rebbeka Siswandina Sari; Muhammad Hammam Al-Choiri; Maulana Afif; Ricky Aston Susetyo; Muhammad Ahmad Baballe
Computer Science and Information Technologies Vol 4, No 2: July 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/csit.v4i2.p127-134

Abstract

One of the policies that have been made by the World Health Organization (WHO) and the Indonesian government during this COVID-19 pandemic, is to use an oximeter for self-isolation patients. The oximeter is used to monitor the patient if happy hypoxia which is a silent killer, happens to the patient. To maintain body endurance, exercise is needed by COVID-19 patients, but doing too much exercise can also cause decreased immunity. That’s why fatigue level and exercise intensity need to be monitored. When exercising, social distancing protocol should be also reminded because can lower COVID-19 spreading up to 13.6%. To solve this issue, the Caring Jacket is proposed which is a health monitoring jacket integrated with an IoT system. This jacket is equipped with some sensors and the global positioning system (GPS) for tracking. The data from the test showed the temperature reading accuracy is up to 99.38%, the oxygen rate up to 97.31%, the beats per minute (BPM) sensor up to 97.82%, and the precision of all sensors is 97.00% compared with a calibrated device.
Performance Evaluation of Sliding Mode Control (SMC) for DC Motor Speed Control Dimas Dwika Saputra; Alfian Ma'arif; Hari Maghfiroh; Muhammad Ahmad Baballe; Angelo Marcelo Tusset; Abdel-Nasser Sharkawy; Rania Majdoubi
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 9, No 2 (2023): June
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v9i2.26291

Abstract

DC motor is an industrial motor that is practical for many applications and implementations. However, the speed of a DC motor often decreases because of the given load, thus causing it to be unstable and inconstant. In addition, parameter uncertainty is another issue of DC motors. The performance of the system will be impacted by the uncertainty. Therefore, in this study, SMC is used as speed control of the DC motor since it can handle non-linear plants. The performance also compares with PID to know the effectiveness of the SMC method in DC motor speed control. This study proposes a hardware design and implementation of DC motor angular speed control on Arduino UNO as an embedded control system. The performance comparison analysis results proved that both controllers could perform well. However, both controllers need further fine-tuning. There are still overshoot and steady-state errors for PID and SMC, respectively. In future work, the optimization method can be used to find the optimal gain or by combining it with an adaptive algorithm.
Prototipe Automatic Feeder dengan Monitoring IoT untuk Perikanan Bioflok Lele Hari Maghfiroh; Chico Hermanu; Feri Adriyanto
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 15 No. 1 (2021)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v15n1.2160

Abstract

Revolusi Industri 4.0 telah banyak membawa banyak perubahan baik itu positif maupun negartif. Segi positifnya yaitu telah banyak dipakainya otomasi dan robot di dunia industri sehingga produksi bisa meningkat pesat. Sedangkan sudut negatif, semakin banyaknya pekerjaan manusia yang tergantikan oleh mesin sehingga memperkecil peluang kerja. Adanya revolusi industri 4.0 juga membawa kesenjangan antara kelompok melek teknologi dan kelompok gagap teknologi (gaptek). Warga kampung atau desa merupakan kelompok besar dari golongan gaptek. Untuk itu, suatu peluang usaha baru yang dapat dikerjakan msyarakat desa dengan tingkat pendidikan menengah sangat diperlukan. Maka dipilihlah program perikanan bioflok lele. Sentuhan teknologi otomasi dan Internet of Things (IoT) diberikan untuk meningkatkan produktivitas dan membuat masyarakat melek akan perkembangan teknologi era revolusi industry 4.0.
Smart Home System With Battery Backup and Internet of Things Hari Maghfiroh; Joko Slamet Saputro; Berlian Shanaza Andiany; Chico Hermanu; Miftahul Anwar; Muhammad Nizam; Alfian Ma’arif
Journal of Applied Engineering and Technological Science (JAETS) Vol. 5 No. 1 (2023): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v5i1.1969

Abstract

This research enhances Smart Home Systems by integrating an Automatic Transfer Switch (ATS) for seamless power source switching between the grid and a backup battery, ensuring uninterrupted operation during power disruptions. An Automatic Battery Charging (ABC) system optimizes battery charging based on its condition, improving energy storage and efficiency. The system provides on-site electrical equipment control and sensor data access via a Human Machine Interface (HMI). Remote monitoring and control through the Blynk app offer convenience. Additionally, an energy consumption estimation feature allows users to estimate billing costs, with the Battery State of Charge (SoC) indicating the remaining battery capacity. Hardware testing showed the system's reliability with a 2-4 second ATS response and ±2-second ABC response. This research offers homeowners reliable power continuity and energy optimization. It contributes to IoT-based smart home systems, demonstrating ATS and ABC effectiveness, advancing both theory and practice for modern smart living.
Pemanfaatan Baterai untuk Mengurangi Beban Puncak dan Meningkatkan Penyerapan Energi Regenerative Braking pada Kereta Api Hari Maghfiroh
Jurnal Penelitian Transportasi Darat Vol. 22 No. 1 (2020): Jurnal Penelitian Transportasi Darat
Publisher : Sekretariat Badan Kebijakan Transportasi, Formerly by Puslitbang Transportasi Laut, Sungai, Danau, dan Penyeberangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25104/jptd.v22i1.1601

Abstract

Semakin meningkatnya kebutuhan transportasi dan meningkatnya pemanasan global akibat polusi, maka sistem transportasi massal merupakan alternative utama. Kereta api merupakan salah satu moda transportasi yang paling effisien dari segi energi dibandingkan moda transportasi lain. Kereta api listrik merupakan kereta yang ramah lingkuangan. Akan tetapi, kereta ini memerlukan energi listrik yang besar. Salah satu cara untuk mengurangi konsumsi energi kereta listrik adalah dengan regenerative braking. Listrik hasil regenerative braking kurang dapat termanfaatkan dan kebanyakan dibuang di brake resistor. Energy Storage System (ESS) dapat dipakai untuk menyimpan energi hasil regenerative braking. ESS dapat diletakkan disamping lintas (track-side) maupun pada sarana kereta api (on-board). ESS on-board (ESS-OB) memiliki efisiensi dan manajemen energi yang lebih mudah. Baterai dipilih menjadi ESS-OB karena marupakan salah satu jenis ESS yang lebih unggul dibanding tipe lain yaitu flywheel dan super-capacitor. Pengujian simulasi dilakukan dengan memodelkan substasiun, kereta api, ESS-OB, dan brake resistor. Pada pengujian kereta berjalan diantara dua substasiun dan berhenti di tiga stasiun kereta api. Hasil pengujian menunjukkan bahwa penambahan baterai sebagai ESS-OB di kereta mampu menyerap energi hasil regenerative braking dengan baik dan mampu mengurangi beban puncak hingga 2,11 %. Penghematan energi akan lebih banyak jika diterapkan pada beberapa unit kereta dan frekuensi perjalanan yang lebih tinggi. Penambahan baterai ini juga meningkatkan massa kereta hingga 0,07%.
BLDC Motor Control Optimization Using Optimal Adaptive PI Algorithm Supriyanto Praptodiyono; Hari Maghfiroh; Chico Hermanu
Jurnal Elektronika dan Telekomunikasi Vol. 20 No. 2 (2020)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v20.47-52

Abstract

The main problem of using a Proportional Integral (PI) Controller in Brushless Direct Current (BLDC) motor speed control is tuning the PI’s parameter and its performance cannot adapt to the system behavior changes. Particle Swarm Optimization (PSO) has been chosen to optimize the tuning. Fuzzy Logic Controller (FLC) is used to online tuning PI’s parameters to adapt to system conditions. Optimal adaptive PI, which combines the PSO method and FLC method to tune PI, is proposed. It was successfully implemented in the simulation environment. The test was carried out in three conditions: step responses, set-point changes, and disturbance rejection. The proposed algorithm is superior with no overshoot/undershoot. Whereas in terms of settling time is in between PI and PI-PSO. PI controller has the smallest control effort. However, the other parameter is the worst. PI-PSO is superior in terms of settling time and Integral of Absolute Error (IAE) except for the step response test. The proposed method has lower IAE and higher control effort by 78.73 % and 60 % compared to PI control. On the other hand, it has a higher IAE dan lower control effort by 11.82 % and 33.88 % compared to PI-PSO. Therefore, the optimal adaptive PI control can reduce energy consumption compared to optimal PI with better performance than PI control.
Integral State Feedback Control Using Linear Quadratic Gaussian in DC-drive System Supriyanto Praptodiyono; Hari Maghfiroh; Joko Slamet Saputro; Agus Ramelan
Jurnal Elektronika dan Telekomunikasi Vol. 21 No. 2 (2021)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v21.79-84

Abstract

The electric motor is one of the technological developments which can support the production process. DC motor has some advantages compared to AC motor especially on the easier way to control its speed or position as well as its widely adjustable range. The main issue in the DC motor is controlling the angular speed with uncertainty and disturbance. The alternative solution of a control method with simple, easy to design, and implementable in a multi-input multi-output system is integral state feedback such as linear quadratic Gaussian (LQG). It is a combination between linear quadratic regulator and Kalman filter. One of the advantages of this method is the usage of fewer sensors compared with the original linear quadratic regulator method which uses sensors as many as the state in the system model. The design, simulation, and experimental study of the application of LQG as state feedback control in a DC-drive system have been done. Both performance and energy were analyzed and compared with conventional proportional integral derivative (PID). The gain of LQG was determined by trial whereas the PID gain is determined from MATLAB autotuning without fine-tuning. The load test and tracking test were carried out in the experiment. Both simulation and hardware tests showed the same result which LQG is superior in integral absolute error (IAE) by up to 74.37 % in loading test compared to PID. On the other side, LQG needs more energy, it consumes higher energy by 6.34 % in the load test.
Fault Tolerant Control of Robot Manipulator with Actuator Effectiveness Adaptation Anisa Ulya Darajat; Swadexi Istiqphara; Heriansyah; Mohammad Farhan Ferdous; Abu Saleh Musa Miah; Uri Arta Ramadhani; Hari Maghfiroh
Journal of Fuzzy Systems and Control Vol. 4 No. 1 (2026): Vol. 4 No. 1 (2026)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jfsc.v4i1.397

Abstract

This study discusses the implementation of fault-tolerant control (FTC) for a planar two-degree-of-freedom (2DoF) robot manipulator experiencing actuator loss of effectiveness. Several methods have been proposed, such as PID and MRAC; however, their accuracy still needs improvement. Meanwhile, FT-SMC offers high accuracy, but its methodological complexity results in longer execution time and reduced computational efficiency. The objective of this research is to develop a fault-tolerant control method that can maintain system performance under actuator degradation while achieving high tracking accuracy with improved computational efficiency. Simulations are performed with a two-link manipulator model with sinusoidal reference trajectories. An actuator fault is introduced at 4 s by reducing the actuator effectiveness to [0.5, 0.7]ᵀ, meaning that the actuator capability decreases to 50% and 70% of its nominal performance, respectively. The simulation results show that the proposed FTC controller maintains good tracking performance after the fault occurs. In contrast, the controller without FTC experiences performance degradation characterized by phase lag and amplitude attenuation in the system response. Furthermore, the actuator effectiveness estimation mechanism demonstrates fast convergence after the fault occurs, with settling times of approximately 0.084 s and 0.238 s for the first and second joints, respectively. The steady-state MAEs are 0.0080 and 0.0395, equivalent to relative errors of 1.6% and 5.6%, respectively. Compared with other FTC methods, the proposed FTC controller also provides a balanced trade-off between tracking accuracy, robustness under fault conditions, and computational efficiency, making it suitable for real-time implementation.