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Alfian Ma'arif
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Control Systems and Optimization Letters
Published by Peneliti Teknologi Teknik Indonesia
ISSN : -     EISSN : 29856116     DOI : 10.59247/csol
Core Subject : Science, Engineering,
Aerospace Engineering Automotive Engineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering
Control Systems and Optimization Letters is an open-access journal offering authors the opportunity to publish in all fundamental and interdisciplinary areas of control and optimization, rapidly enabling a safe and sustainable interconnected human society. Control Systems and Optimization Letters accept scientifically sound and technically correct papers and provide valuable new knowledge to the mathematics and engineering communities. Theoretical work, experimental work, or case studies are all welcome. The journal also publishes survey papers. However, survey papers will be considered only with prior approval from the editor-in-chief and should provide additional insights into the topic surveyed rather than a mere compilation of known results. Topics on well-studied modern control and optimization methods, such as linear quadratic regulators, are within the scope of the journal. The Control Systems and Optimization Letters focus on control system development and solving problems using optimization algorithms to reach 17 Sustainable Development Goals (SDGs). The scope is linear control, nonlinear control, optimal control, adaptive control, robust control, geometry control, and intelligent control.
Arjuna Subject : Teknik (semua kategori) - Teknik Kontrol dan Sistem
Articles 56 Documents
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Development of an IoT-Monitoring and Control System for Solar Panel Surface Temperature Regulation Utilizing Water-Cooling Techniques Silfia Cindy Ariadita; Alfian Ma'arif
Control Systems and Optimization Letters Vol 1, No 3 (2023)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v1i3.44

Abstract

As the world's energy needs escalate and the availability of finite natural resources diminishes, there is an urgent need to explore sustainable alternatives. Renewable energy sources, including solar power, hold great promise due to their abundance, cost-effectiveness, and environmental friendliness. Solar panels, a cornerstone of renewable energy, have the potential to provide clean electricity, but their efficiency depends on temperature control. This research addresses this challenge by implementing an Internet of Things (IoT) monitoring and control system using the Blynk platform to regulate solar panel surface temperatures. The system's smart design uses water pumps to mitigate excessive temperatures, improving performance and energy efficiency. Extensive testing demonstrated the system's effectiveness, particularly in mitigating temperature spikes, improving system efficiency and sustainability. Our results demonstrate the remarkable potential of water-cooled systems and IoT technology to revolutionize solar energy harvesting, marking a significant step toward a sustainable energy future.
Design of Water Heater Temperature Control System using PID Control Vatia Fahrunisa Rahmadini; Alfian Ma'arif; Nur Syuhadah Abu
Control Systems and Optimization Letters Vol 1, No 2 (2023)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v1i2.41

Abstract

This research delves into advanced control methodologies by investigating the intricate applications of Proportional-Integral-Derivative (PID) control for achieving precise and dependable temperature regulation within electric water heaters. The study delves into various control strategies, namely Proportional, Proportional-Integral, and Proportional-Integral-Derivative methodologies, to realize the pinnacle of stable and exacting temperature control. The Proportional Controller, operating with a Kp value of 10, stands out with its relentless performance, characterized by minimal overshoot and an inconsequential steady-state error. Implementing the Proportional-Integral Controller, synergizing Kp at 10 and Ki at 5, elevates system stability while deftly curbing any hint of overshoot. The dynamic interplay between the Kp, Ki, and Kd parameters in the Proportional-Integral-Derivative (PID) Controller unveils an intricate dance of precision and control. Notably, configurations involving Kp 10, Ki 5, and Kd 2 emerge as beacons of rapid stabilization, heightened precision, and masterful overshoot management, exemplified by a rise time of 119.3543 seconds, settling time of 162.6116 seconds, overshoot of 1.0299%, peak time of 216 seconds, and a commendably low steady-state error of 0.31. This extensive exploration bears testament to its instrumental role in optimizing PID control strategies, ushering in augmented efficacy and pinpoint accuracy in water temperature regulation across an expansive spectrum of applications. As a result, these findings pave the way for the evolution of control methodologies that transcend theoretical confines and manifest within practical scenarios with profound impact.
Book Review on Hosting Capacity for Smart Power Grids, Ahmed F. Zobaa, Shady H. E. Abdel Aleem et al. Springer, 1 2020 Hossam H. H. Mousa; Karar Mahmoud; Matti Lehtonen
Control Systems and Optimization Letters Vol 2, No 2 (2024)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v2i2.98

Abstract

Nowadays, the growing integration of new industrial technologies into modern power systems (MPSs) such as distributed energy resources (DERs) such as various types of renewable energy sources (RESs), electric vehicles (EVs), and energy storage systems (ESSs), caused various adverse impacts that should be considered broadly. These technologies cause various deteriorations on the performance indices (PIs), e. g. voltage deviation and reverse power flows. Therefore, the hosting capacity (HC) concept is declared to ensure that integration is managed efficiently to accommodate them without any PI violations. Various research fields investigated HC technologies in terms of calculation methods, tools, enhancement techniques, etc. in several articles and books. However, the book entitled “Hosting Capacity for Smart Power Grids, Ahmed F. Zobaa, Shady H.E. Abdel Aleem et al. Springer, 1 2020”, is the most recent prominent comprehensive reference for HC strategies in MPSs. Hence, this article proposes a book review and discussion of its most important contributions which helps the reader in realizing the recent developments in HC technologies based on this book’s contents.
Ultimately Bounded TSK Fuzzy Management in Urban Traffic Stream Mechanism: Multi-Agent Modeling Approach Reza Ghasemi; Negin Amiri Hazaveh
Control Systems and Optimization Letters Vol 1, No 1 (2023)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v1i1.16

Abstract

In this paper, a novel control approach based on the selection of the type of traffic light and the period of the green phase to accomplish an optimum balance at intersections is proposed. This balance should be flexible to the static behavior of time, and randomness in a traffic situation, which the goal of the proposed method is to reduce traffic volume in transportation, the average delay for each vehicle, and control over the crash of cars. The proposed method was specifically investigated at the intersection through an appropriate timing of traffic lights by sampling a multi-agent system. It consists of a large numbers of intersections, each of which is considered as an independent agent that exchanges information with each other, and the stability of each agent is provided separately. The robustness against uncertainties, scalability, and stability of the closed-loop overall system are the main merits of the proposed methodology. The simulation results show that the fuzzy intelligent controller in this multi-factor system which is a TS fuzzy is more useful than scheduling in the fixed-time method and it reduces the lengths of vehicles queuing.
A Review on Nanotechnology and Its Impact with Challenges on Electrical Engineering Md Yakub Ali Khan; Nafisa Sultana Elme; H M Tahrim; Kala Raza
Control Systems and Optimization Letters Vol 2, No 1 (2024)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v2i1.78

Abstract

Nanotechnology has revolutionized the field of electrical engineering, enabling the development of new materials, devices, and systems with unique properties and functionalities. This review article provides an overview of the impact of nanotechnology on electrical engineering, covering various areas such as analogue and digital circuits, power electronics, sensors, and energy harvesting. The article begins by discussing the basics of nanotechnology, Graphene-based Nanotechnology, nanoscience, Nano photonic and its potential impact on electrical engineering. It then focuses on the application of nanotechnology in various fields of electrical engineering, such as the development of high-performance transistors, nanoscale sensors, and efficient energy conversion systems. The article also discusses the challenges associated with the application of nanotechnology in electrical engineering, such as the need for high-precision fabrication   techniques, the   issue   of   reliability   and reproducibility, and the potential health and environmental concerns. Overall, the   review   article   highlights   the   immense   potential   of nanotechnology in electrical engineering and its impact on various fields of research and development. While challenges exist, continued research and development in nanotechnology promise to lead to significant advancements in electrical engineering, enabling the development of more efficient, and sustainable systems and devices.
The Design of Rice Milling and Screening Systems Uses the DC Motor PID Method Aulia Adi Cahya; Riky Dwi Puriyanto
Control Systems and Optimization Letters Vol 1, No 1 (2023)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v1i1.2

Abstract

Rice is one of the staple foods of most Indonesian people, the processing of rice derived from rice plants goes through many stages, one of which is rice milling and sifting. This research aims to make it easier for farmers to do milling and screening, the system will utilize DC motor rotation which is suitable for application in milling and screening, this system also utilizes electrical energy obtained from sunlight so it is more efficient and environmentally friendly. The milling DC motor will use the PID method with a value of P=25, I=50 and D=5 with a setpoint of 250, while the winnowing motor will use a PWM setting of 200 with a voltage of 7.07 V and a motor RPM of 348. This study also has digital scales. which can easily find out the results in units of grams with a maximum capacity of 5,000 grams. The prototype of this rice grinder and sifter has a success rate of testing sensors and motors in the range of 50%, even though the milling results can be said to be less than optimal, the screening results can work according to function, as well as solar panels that can optimally provide power to move the actuators and sensors. sensors in this system.
A Comprehensive Review of Renewable and Sustainable Energy Sources with Solar Photovoltaic Electricity Advancement in Bangladesh Md. Naeem Hussain; Md Rakibur Zaman; Md Abdul Halim; Md. Sumon Ali; Md. Yakub Ali Khan
Control Systems and Optimization Letters Vol 2, No 1 (2024)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v2i1.59

Abstract

With an emphasis on Bangladesh's accomplishments in solar photovoltaic power production, this extensive study offers a comprehensive review of sustainable and renewable energy sources. Bangladesh, a heavily populated country that depends heavily on energy, has a difficult time satisfying its rising electrical demand while also taking environmental issues into account. The assessment covers a wide range of topics related to renewable energy sources, including solar photovoltaic technology, how it fits into the nation's current energy infrastructure, legislative frameworks, and socioeconomic effects. The report emphasizes how solar photovoltaic power may play a key role in Bangladesh's sustainable energy future by lowering the country's reliance on fossil fuels, lessening the effects of climate change, and promoting economic development via the use of renewable energy sources. This comprehensive review explores the many facets of sustainable and renewable energy sources in further detail, with a particular emphasis on Bangladesh's ever-changing solar photovoltaic power market. The topic of discussion includes developments in solar panel technology, such as increased efficiency, lower costs, and novel ideas. It also looks at how solar energy may be integrated into the current energy system, discussing the benefits and problems related to energy storage and grid modernization. This paper has the potential to improve energy security, the environment, the economy, and the general well-being of the populace, with a focus on solar PV advancement in Bangladesh. It can act as a guide for decision-makers in government, academia, and business to work together to create a more resilient and sustainable energy future for the nation. The research explores how the expansion of the solar business might lead to the creation of jobs, the improvement of skills, and the enhancement of local economies. It also takes into account the advantages for the environment that come from using less fossil fuels, such as lower greenhouse gas emissions and better air quality. This thorough review highlights the importance of Bangladesh's progress toward solar photovoltaic electricity development as a way to guarantee a sustainable and environmentally conscious energy future, lower consumer energy costs, and improve energy security in a country with rising energy consumption and aggressive renewable energy targets.
Implementation of Behavior Based Robotics on Hexapod Legged Robot Based on Room Mapping Zahra Salsabila; Nuryono Satya Widodo
Control Systems and Optimization Letters Vol 1, No 3 (2023)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v1i3.55

Abstract

The Indonesian Fire Fighting Robot Contest (KRPAI) has a mission to extinguish fires quickly, with various kinds of points and bonuses to be taken. The robot used in this research is a 6-legged robot (Hexapod). The problem faced today is the robot's ability to navigate the room, the robot still has to enter the same room, especially in room 1 (a room with 2 doors) so that the Arbitrary Start bonus or Variable Door location which prohibits the robot from entering the same room cannot be obtained. There is also a Room Factor bonus obtained using the JTS (Segment Distance) method which is an additional bonus when the robot walks outside the room. It is necessary to develop a room mapping algorithm with behavior based so that the robot can get maximum points. The main sensor used is the IMU BNO055 sensor as a robot direction orientation sensor, as well as a proximity sensor as a wall search sensor, so that the robot can know the direction when leaving and exploring the room, knowing the starting room, and ensuring the next room entered is a different room. The results of the test successfully made the robot take maximum points in the race.
A Review on Employing Weather Forecasts for Microgrids to Predict Solar Energy Generation with IoT and Artificial Neural Networks Md Monirul Islam; Mst. Tamanna Akter; H M Tahrim; Nafisa Sultana Elme; Md. Yakub Ali Khan
Control Systems and Optimization Letters Vol 2, No 2 (2024)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v2i2.108

Abstract

In this study, an artificial neural network (ANN) based approach is studied about the prediction of solar energy generation in a microgrid using weather forecasting. The ANN is trained using historical data of solar energy generation and weather forecast data. The input parameters for the ANN include weather variables such as temperature, humidity, wind speed, and solar irradiance. The output parameter is the solar energy generation in kilowatt-hour (kWh). The proposed approach is implemented and tested using real-world data from a microgrid. The results indicate that the ANN-based approach is effective in predicting the solar energy generation with high accuracy. The proposed approach can be used for optimizing the operation of microgrids and facilitating the integration of renewable energy sources into the power grid. This study proposes the use of an Artificial Neural Network (ANN) to predict the solar energy generation in a microgrid using weather forecast data. Weather forecasting has become more precise and dynamic with the integration of IoT data with advanced analytics and machine learning models. These models are quite accurate at predicting solar irradiance and analyzing patterns. The microgrid comprises of a photovoltaic (PV) system which generates solar energy and a battery storage system which stores and supplies the energy to the load. Accurate prediction of solar energy generation is crucial for optimizing management of the microgrid. The inputs to the ANN model include temperature, humidity, wind speed, cloud cover and solar irradiance, which are obtained from weather forecast data. The output of the model is the predicted solar energy generation. The performance of the ANN model is evaluated using various performance metrics such as Mean Absolute Error (MAE), Root Mean Squared Error (RMSE) and Coefficient of Determination (R²). This study presents a practical approach for predicting solar energy generation in a microgrid using weather forecast data, which can be used for efficient management of the microgrid.
DC to AC Inverter Prototype for Small Scale Power Supply with SPWM Method Fiki Listyantoro; Alfian Ma'arif; Abdel-Nasser Sharkawy; Hamzah M. Marhoon
Control Systems and Optimization Letters Vol 1, No 2 (2023)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v1i2.24

Abstract

Inverter is a device to convert Dc current voltage into AC current voltage. In this article, the inverter is designed using the H-Bridge configuration. The advantage of this configuration is that there is no need for diodes and capacitors to balance the voltage. The main components in designing this inverter are the Arduino Nano, the IR2103 IC, and also the MOSFET. The switching method used is SPWM with H-Bridge configuration which is controlled by 2 IC IR2103. Based on the test results, the output voltage of this inverter is 7.45 Volts. With a DC voltage of 12 Volts. With the use of an oscilloscope that is used to measure the output waveform from the switching results of the MOSFET, the signal is still in the form of a square wave. To make a sine wave, an inductor filter is needed which functions to produce a signal to become a sine wave, and to keep the frequency at 50Hz. The voltage generated from the step-up transformer can be adjusted by rotating the feedback trimpot. The resulting voltage is 88 Vac to 260 Vac. and can accommodate a maximum load of 250 Watts. This inverter is also equipped with a PZEM-004T sensor which functions to read voltage, current, frequency and power data.

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