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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 118 Documents
 1   2   3   4   5 
PID Control Tuning Based on Wind Speed Sensor in Flying Robot Fadlur Rahman T Hasan; Son Ali Akbar
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.v1i3.56

Abstract

The problem that is often faced by flying robots when carrying out the Vertical Take Off Landing (VTOL) process is the lack of stability of the vehicle due to differences in wind speed at any time. This is because the PID that has been pre-tuned is the PID at a certain wind speed and it is possible that during the race the wind speed suddenly changes, causing the vehicle to be less stable in carrying out the mission. Therefore, this study proposes a PID Control Tuning Control system based on the Wind Speed Sensor. In experiments that have been carried out with anemometer readings of 1-5 m/s, the ideal tuning results are obtained with each parameter P_roll = 0.1453, I_roll = 0.0892, D_roll = 0.004, P_pitch = 0.144, I_pitch = 0.09, D_pitch = 0.004, P_yaw = 0.184, I_yaw = 0.0184, D_yaw = 0.00309. In experiments with anemometer readings of 6-10 m/s, the ideal tuning results were obtained with each parameter P_roll = 0.148, I_roll = 0.0905, D_roll = 0.004, P_pitch = 0.1444, I_pitch = 0.09, D_pitch = 0.004, P_yaw = 0.1867, I_yaw = 0.0181, D_yaw = 0.0037. In an experiment with an anemometer reading of 11-15 m/s, the ideal tuning results were obtained with each parameter P_roll = 0.1494, I_roll = 0.09, D_roll = 0.004, P_pitch = 0.1457, I_pitch = 0.0902, D_pitch = 0.004, P_yaw = 0.1894, I_yaw = 0.018, D_yaw = 0.0037. PID adjustment based on this anemometer sensor utilizes the latest real-time wind speed data to support the robot in order to overcome instability in certain wind conditions by tuning PID so that the vehicle can maintain stability when carrying out certain missions.
Simulation and Implementation of RSCUAD Walking Robot Based on ROS and Gazebo Simulator Danu Andrean; Nuryono Satya Widodo
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.v1i2.32

Abstract

This research describes the virtual humanoid robot R-SCUAD using the Gazebo simulator. In its development, humanoid robots often perform movements that have a negative impact on the robot's hardware, therefore the development of a virtual robot model is a solution to overcome this problem. So that the robot can be simulated before running. Gazebo is a robot simulator that allows to accurately simulate, design and test robots in various environments. Gazebo itself is a simulation used by ROS (robotic operating system). The simulation is built by doing a 3D design process in solidwork software and exported to a URDF file that matches the format on the ROS. Tests carried out on robots are by comparing virtual robots with real robots. From the tests carried out on the robot, it was found that the virtual robot can walk according to the real robot, such as falling if the robot's condition is not balanced. The simulation robot also moves according to the real robot when the controls are carried out.
Microgrid Technologies for Remote Islands of Bangladesh - A Review Zohar Al Dodaev; Tareq Aziz; Md. Sumon Ali; Saleh Ibrahim
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.v2i1.86

Abstract

Issues about fuel exhaustion, electrical shortages, and global warming are growing increasingly serious as a result of the global energy crisis. Solar and wind energy, both of which are clean and sustainable, provide solutions to these issues via distributed generators. Microgrids have emerged as a research hotspot as a crucial interface for connecting the power produced by dispersed renewable energy generators to the electrical system. The main objective of this paper is to review the technical aspect of microgrid in remote islands of Bangladesh. Microgrid technologies provide great promise for tackling the particular energy difficulties encountered by Bangladesh's outlying islands. This review explained the application, benefits, and limitations of microgrid solutions in the context of these isolated places in depth. The review draws on a wide range of academic literature and addresses the technical aspects of microgrid architecture and renewable energy source integration. The evaluation looks at how renewable energy sources like hydroelectric systems, wind turbines, and solar photovoltaics (PV) can be integrated. To identify the best combination for producing power, this entails evaluating the resource availability, intermittency, and variability of various renewable sources. Furthermore, the unmet load, electricity in excess and technological future of technical aspect has been discussed in this review. Employment in society, comfortable life and ecosystem of social aspect of microgrid has also been discussed. Risk analysis, sensitivity analysis and scenario analysis have been explained here in this paper. This review provides significant insights for policymakers, academics, and practitioners aiming to deploy efficient and sustainable energy solutions for Bangladesh's remote islands. This review will also assist decision-makers in adopting microgrids for rural electrification and in establishing regulations that are helpful and clear for the operation and integration of microgrids. System effectiveness, energy storage, and grid management breakthroughs may result from research and development of microgrid technology.
Extended Kalman Filter Design to Estimate the Attitude of the Nanosatellite System Using Magnetometer Carlos Silva; George McKell; Linda Parker
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.v1i1.13

Abstract

The problem of estimating nonlinear systems is an important issue in many engineering applications. One of these applications is in the nanosatellite for Vehicle-to-everything (V2X) communications, which is used to replace sensors in the event of failure or error. Therefore, the accuracy of pre-filter estimation is of great importance. To control the orientation of a satellite, it is important to estimate the attitude accurately. Time-series estimation is especially important in micro and nanosatellites, whose sensors are usually low-cost and have higher noise levels than high-end sensors. Also, the algorithms should be able to run on systems with very restricted computer power. In this paper, an overview of the algorithms used to determine the attitude of nanosatellites, and especially using only the magnetometer sensor, will be discussed. This paper aims to simulate a nanosatellite system to estimate the magnetic field derivative vector using only the magnetometer data with the desired accuracy. The estimated vectors in the pre-filter, along with the magnetometer sensor data, are used to estimate the attitude of the satellite. The estimation of the state vector consisting of the vector part of quaternion and the angular velocity vector is used for the control calculation. To evaluate the accuracy of this pre-filter, a comparison of the magnetometer vector estimator with the body sensor data has been used.
An Intensive Analysis of the Energy Management System for Hybrid Electric Vehicles and Electric Drive System Powered by Renewable Energy Sources Md Reazul Hoque; Md Rakibur Zaman; Md Sumon Ali
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.v2i1.75

Abstract

The Energy Management System (EMS) used in Hybrid Electric Vehicles (HEVs) with an electric drive system powered by renewable energy sources is thoroughly investigated in this study. The study focuses on the crucial elements of encouraging sustainability and maximizing energy efficiency in transportation. The analysis focuses on the EMS's integration with renewable energy sources like solar, wind, biomass and mechanical vibration. This research is thoroughly reviewed by explaining the efficient management of the power flow between the internal combustion engine, electric motor, and renewable energy inputs, advanced control algorithms and optimization strategies. By incorporating solar panels into the design of a vehicle, the demand on the primary power source is decreased and electricity can be produced to fuel auxiliary systems like air conditioning. It is possible to use wind energy to create electricity for the car's auxiliary systems and electronics. Under various driving conditions and operational scenarios, the study assesses how well the suggested EMS performs, taking into account variables like fuel economy, emissions reduction, and overall system reliability. Testing in real-world scenarios confirms the system's efficacy and offers perceptions into its usefulness. The study explores the effects of fluctuating renewable energy availability and suggests adaptable tactics to strengthen the system's resistance to shifting circumstances. The research will pave the way for the creation of reliable EMS solutions for HEVs and provide environmentally friendly and sustainable mobility. In order to promote a more environmentally friendly and economically viable paradigm for hybrid electric vehicles, the study intends to direct future developments in the integration of renewable energy sources into electric drive systems. Enhanced predictive capabilities can make well-informed decisions about power distribution and consumption by assessing real-time data, weather forecasts, traffic patterns, and driver behavior. This can enhance energy management. The goal of the review is to develop and enhance renewable energy-based energy harvesting technology. These technologies' increased weight reduction and increased efficiency will make it easier to integrate them into electric drive systems.
Technical and Economic Challenges and Future Prospects of a Smart Grid - A Case Study Abrarul Haque; Md. Naeem Hussain; Md. Sumon Ali; Md. Yakub Ali Khan; Md Abdul Halim
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.v1i3.57

Abstract

In order to improve grid efficiency, dependability, and sustainability, smart grid technology is being developed and implemented at the vanguard of updating the world's electrical infrastructure. In addition to looking at the potential implications of smart grid technology, this case study analyzes the technical and financial difficulties encountered during the implementation of a smart grid. Technical issues with energy management and system stability arise when intermittent renewable energy sources are integrated into the smart grid. To make smooth transmission, sophisticated algorithms and grid management strategies are needed. Maintaining data security and privacy is crucial since smart grids mostly depend on digital technology and data exchange. It is a constant worry to defend the grid from hackers and illegal access. The installation of sensors, smart meters, and communication equipment might come with a significant initial cost when implementing a smart grid. One of the main economic challenges is financing these developments while maintaining reasonable power bills. It may be difficult to strike a balance between the interests of technology suppliers, customers, and utilities. Real-time monitoring and control are made possible by smart grids, which improve energy distribution and minimize energy waste. In addition to lowering greenhouse gas emissions, this improves overall energy efficiency. Smart grids can enable EV charging infrastructure as electric vehicle (EV) use increases, providing potential for grid optimization and new income streams for utilities. Reliability could be increased and downtime is decreased in a smart grid when defects can be promptly identified and isolated. The implementation of a smart grid is not without its technical and financial difficulties, but the future seems bright. Overcoming these obstacles may result in an electrical grid that is more sustainable, robust, and profitable for customers as well as utilities. Stakeholder cooperation, flexible regulations, and continuous technical development are needed to address these problems. By providing practical applications and real-world insights into the implementation of a smart grid, the case study acts as a link between theoretical concepts. Stakeholders obtain a comprehensive comprehension of the intricacies involved by analyzing technical and economic obstacles. To maximize the potential of smart grid technology, this knowledge is essential for fine-tuning strategies and creating focused solutions.
Optimizing Light Intensity with PID Control Eriko Alfian; Alfian Ma'arif; Phichitphon Chotikunnan; Ahmed Jaber Abougarair
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.v1i3.38

Abstract

Lighting is a fundamental cornerstone within interior design, possessing the capability to metamorphose spaces and evoke emotional responses profoundly. This principle applies to residential, industrial, and office domains, where lighting nuances are meticulously adjusted to enhance comfort and practicality. However, adequate luminance frequently intersects with energy wastage, often attributed to negligent light management practices. Mitigating this issue necessitates integrating light intensity controls adept at adapting to ambient luminosity and room-specific parameters. A prospective avenue encompasses incorporating a Proportional Integral Derivative (PID) control system synergized with light sensors. This research Implementing a closed-loop architecture, PID control utilizes feedback mechanisms to improve the precision of instrumentation systems. The PID methodology, consisting of Proportional, Integral, and Derivative control modalities, produces stable responses, accelerates system reactions, and diminishes deviations and overshooting by predetermined setpoints. The proposed Light Intensity Control System underpinned by PID methodology manifests as an exhibition of compelling outcomes drawn from empirical trials. The judicious selection of optimal parameters, specifically Kp = 0.2, Ki = 0.1, and Kd = 0.1, yielded noteworthy test outcomes: an ascent time of 0.0848, an overshoot of 6.5900, a culmination period of 0.4800, a settling period of 2.3032, and a steady-state error of 0.0300. Within this system, the PID controller assumes a pivotal role, orchestrating the regulation and meticulous calibration of light intensity to harmonize with designated criteria, thus fostering an environment of augmented energy efficiency and adaptability in illumination.Lighting is a fundamental cornerstone within interior design, possessing the capability to metamorphose spaces and evoke emotional responses profoundly. This principle applies to residential, industrial, and office domains, where lighting nuances are meticulously adjusted to enhance comfort and practicality. However, adequate luminance frequently intersects with energy wastage, often attributed to negligent light management practices. Mitigating this issue necessitates integrating light intensity controls adept at adapting to ambient luminosity and room-specific parameters. A prospective avenue encompasses incorporating a Proportional Integral Derivative (PID) control system synergized with light sensors. This research Implementing a closed-loop architecture, PID control utilizes feedback mechanisms to improve the precision of instrumentation systems. The PID methodology, consisting of Proportional, Integral, and Derivative control modalities, produces stable responses, accelerates system reactions, and diminishes deviations and overshooting by predetermined setpoints. The proposed Light Intensity Control System underpinned by PID methodology manifests as an exhibition of compelling outcomes drawn from empirical trials. The judicious selection of optimal parameters, specifically Kp = 0.2, Ki = 0.1, and Kd = 0.1, yielded noteworthy test outcomes: an ascent time of 0.0848, an overshoot of 6.5900, a culmination period of 0.4800, a settling period of 2.3032, and a steady-state error of 0.0300. Within this system, the PID controller assumes a pivotal role, orchestrating the regulation and meticulous calibration of light intensity to harmonize with designated criteria, thus fostering an environment of augmented energy efficiency and adaptability in illumination.
A Review on Integration Challenges for Hybrid Energy Generation Using Algorithms Aziz, Tareq; Dodaev, Zohar Al; Halim, Md. Abdul; Khan, Md. Yakub Ali
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.v2i2.85

Abstract

The main objective of this paper is to review the challenges associated with the integration used in multiple energy generation from renewable energy sources. There are a number of obstacles that must be overcome for the successful integration of various energy sources and storage technologies in a hybrid energy generation system. Algorithms are very crucial for multiple energy generation due to the integration of renewable energy sources, optimum resource allocation, load balancing, system stability and real time decision making. Demand response, load forecasting, and intelligent decision-making algorithms are examples of successful management tactics that may be used to allocate power from various sources according to availability and cost-effectiveness. To operate effectively, algorithms must take into consideration many variables such as state of the batteries, load changes, and weather. The difficulties with circuit design, algorithm design, source management and switching control in hybrid energy generation systems with numerous sources are covered in this paper. These difficulties include maximizing power generation and usage from each source, dynamic power output adjustment based on energy availability and demand, and smooth source changeover. The paper emphasizes how crucial integration of renewable energy sources, using proper algorithm and switching control among energy sources are for successfully integrating various energy sources. Voltage compatibility, current balance, and surge protection are among the difficulties in circuit design. Switching control techniques are very important fact to guarantee smooth switching between energy sources but minimizing power disturbance during source switching and maintaining a steady power supply throughout the process are challenges in switching control. The challenges in circuit and algorithm design for hybrid energy generation systems with multiple sources are highlighted in this review. Hybrid energy generation systems can accomplish effective use of renewable energy sources and contribute to a sustainable energy future by successfully overcoming these obstacles. Algorithms for optimization could be used to weigh environmental sustainability against economic viability while accounting for energy prices, carbon emissions, and lifecycle analysis.
Restoration of the Production in a Dead Well by using Low Cost Recompletion of Sand Control Apollinaire Bouba; Madeleine Nitcheu; Lionel Tapsia Karga; Alhadji Abba Oumate; Souleymanou Baba Nana; Luc Leroy Mambou Ngueyep
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.v1i2.19

Abstract

This paper proposes a cost-effective solution through a recompletion design of sand control to restart the production of a dead well named "X" (for confidential reasons). The data used to achieve the objective of this paper are the production parameters, reservoir properties and the previous completion design. The tool used to draw the new completion schematic is Power Drawn software. It is necessary to use two softwares (PowerDrawn and Pipesim), Ishikawa method and economic evaluation method. The different causes that probably contributed to the production stop in well X are given by using the Ishikawa diagram. The top sediment is obtained by using the sonic log and the clean-up is performed by using coiled tubing with a drill bit incorporated at the end. The mechanical packer is installed to isolate the formation, the pre-packed screen allows the filtration of hydrocarbons. The on-off tool ensures the installation of the mechanical packer and the minimum restriction for the passage of the equipment through the ones in place is 2.313 inches. After the installation of the recompletion, a positive return on investment is obtained and after a production time of one week. The financial aspect after installation of the recompletion shows that a recompletion of the sand control at lower cost is achieved.
Analysis of Different Control Approaches for a Local Microgrid: A Comparative Study Abrarul Haque; Ibrahim Kholilullah; Anik Sharma; Ashif Mohammad; Saidul Islam 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.v2i1.88

Abstract

An analysis that contrasts various methods for managing a microgrid's operations in a community context is known as comparison research on control strategies for community microgrids. The study's objectives are to evaluate the benefits and drawbacks of various control schemes and to pinpoint the best approach for enhancing the microgrid's performance. Control methods include islanded mode control, hybrid mode control, grid-connected mode control, and advanced control strategies that combine economic dispatch with optimum power flow are usually compared in the research. A comparison is established. Depending on elements including resilience, cost-effectiveness, efficiency, stability and dependability. The comparative study's findings shed light on the optimal control approach for a particular community microgrid taking into account the resources that are available, the local energy consumption, and other variables. This review also emphasizes the advantages of using advanced control systems, these systems maximize energy management, maintain grid stability, and improve overall system performance by controlling the intricate interactions among distributed energy resources (DERs), such as solar photovoltaics, wind turbines, energy storage, and conventional generators. Energy efficiency will be increase in rural locations with high solar radiation and limited wind power by using advanced methods and grid-connected mode management. Demand response reduces dependency on external grids and associated expenses while improving resilience. Customized control strategies are essential for maximizing community microgrid performance. There includes discussion of a number of control systems, including distributed control, grid-forming control, energy management and optimization, frequency and voltage regulation, islanded operation, and demand response.

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