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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 14 Documents
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Search results for , issue "Vol 2, No 3 (2024)" : 14 Documents clear
Control of Water Flow Rate in a Tank Using the Integral State Feedback Based on Arduino Uno Hendriyanto, Raeyvaldo Dwi; Puriyanto, Riky Dwi; Ma'arif, Alfian; Vera, Marco Antonio Márquez; Nugroho, Oskar Ika Adi; Chivon, Choeung
Control Systems and Optimization Letters Vol 2, No 3 (2024)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v2i3.162

Abstract

In the industrial world, many tools have been made to facilitate human work in carrying out control and measurement that is made automatically in a production process. Because in some parts of a production process in the industry that is done manually is no longer effective so that accurate and precise automatic control is needed. The control that will be used in this study is the Integral State Feedback (ISF) control with Arduino Uno as a microcontroller to design and run the system. The actuator used is a 12V water pump with the sensor used is the YF-S401. The system will run the ISF control as long as the data is less than 300 and if it reaches 300 data, the system will stop processing the ISF control and turn off the 12V water pump. The sensor reading error obtained is 27%. Parameters Ki = 0.3, K1 = 6, and K2 = 2 obtained from MATLAB Simulink can be applied to the research tool but have a slow system response Delay Time and Rise Time, so the researcher made a modification parameter with a value of Ki = 1, K1 = 6, and K2 = 2 and obtained a faster system response Delay Time and Rise Time. So it can be concluded that the best parameters for this study use modified parameters.
Control of Leading-Edge Shock of Train Using Deep Neural Network to Prevent Unstart Acha, Stefalo; Yi, Sun; Ferguson, Frederick
Control Systems and Optimization Letters Vol 2, No 3 (2024)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v2i3.160

Abstract

The primary aim of this research is to create a comprehensive neural network model that can effectively regulate the position of the leading-edge shock in a scramjet by manipulating the required backpressure, thereby achieving, and maintaining hypersonic speeds. By utilizing computational fluid dynamic data, a dynamic model is constructed using a neural network-based approach to control the positions of the leading-edge shock train. The scramjet isolator, which is a duct where pressure increases from the inlet to the combustor via a series of shock waves, necessitates precise control of the leading-edge shock locations during scramjet operation. The model employed in this research project is a neural network adaptive controller implemented in MATLAB/Simulink software, which accounts for the nonlinear characteristics of the plant and predicts its future behavior. To enhance control performance, a robust controller is employed, integrating a learning rule that reduces the error percentage throughout the system's lifespan. The neural network is trained using flight behavior datasets, enabling it to learn from a set of training patterns. Plant identification is achieved through a neural network, capturing the system dynamics, and enabling the neural network to function as a controller. Additionally, the controller's performance is validated through simulations and optimization analyses. This research presents an adaptable, robust, and effective control system that provides added reliability and reduces disturbances.
Genetic Algorithm-Optimized LQR for Enhanced Stability in Self-Balancing Wheelchair Systems Chotikunnan, Phichitphon; Khotakham, Wanida; Wongkamhang, Anantasak; Nirapai, Anuchit; Imura, Pariwat; Roongpraser, Kittipan; Chotikunnan, Rawiphon; Thongpance, Nuntachai
Control Systems and Optimization Letters Vol 2, No 3 (2024)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v2i3.161

Abstract

Balancing systems, exemplified by electric wheelchairs, require accurate and effective functioning to maintain equilibrium across many situations. This research looks at how well a standard linear quadratic regulator (LQR) and its genetic algorithm (GA)-optimized version keep an electric wheelchair stable when it stands on its own. The aim of the optimization was to improve energy economy, robustness, and responsiveness through the refinement of control settings. Simulations were performed under two scenarios: stabilizing the system from a tilt and recovering from an external force. Both controllers stabilized the system; however, the GA-optimized LQR demonstrated considerable improvements in control efficiency, decreased stabilization time, and enhanced response fluidity. It exhibited improved resilience to external disturbances, as indicated by a decrease in oscillations and an increase in fluid displacement recovery. These enhancements highlight the LQR's versatility, resilience, and appropriateness for real-world applications, including Segways, balancing robots, and patient wheelchairs. This study highlights the ability of evolutionary algorithms to enhance the effectiveness of traditional control systems in dynamic and unpredictable settings.
Potential Applications and Limitations of Artificial Intelligence in Remote Sensing Data Interpretation: A Case Study Hossain, Ikram; Islam, Md Monirul; Martin, Md. Hasnat Hanjala
Control Systems and Optimization Letters Vol 2, No 3 (2024)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v2i3.128

Abstract

This research aims to comprehensively review the applications and limitations of artificial intelligence (AI) in interpreting remote sensing data, highlighting its potential through a detailed case study. AI technologies, particularly machine learning and deep learning, have shown remarkable promise in enhancing the accuracy and efficiency of data interpretation tasks in remote sensing, such as anomaly detection, change detection, and land cover classification. AI-driven analysis has a lot of options because to remote sensing, which can gather massive amounts of environmental data via drones, satellites, and other aerial platforms. AI approaches, in particular machine learning and deep learning, have demonstrated potential to improve the precision and effectiveness of data interpretation tasks, including anomaly identification, change detection, and land cover classification. Nevertheless, the research also points to a number of drawbacks, including challenges related to data quality, the need for large labeled datasets, and the risk of model overfitting. Furthermore, the intricacy of AI models can occasionally result in a lack of transparency, which makes it challenging to understand and accept the outcomes. The case study emphasizes the necessity for a balanced strategy that makes use of the advantages of both AI and conventional techniques by highlighting both effective applications of AI in remote sensing and areas where traditional methods still perform better than AI. This research concludes that while AI holds significant potential for advancing remote sensing data interpretation, careful consideration of its limitations is crucial for its effective application in real-world scenarios.
Hybrid Adaptive Backstepping Sliding Mode Controller of Permanent Magnet Linear Synchronous Motors Maamar, Yahiaoui; Alnami, Hashim; Elzein, I. M.; Benameur, Afif; Brahim, Brahimi; Mohamed, Horch; Mahmoud, Mohamed Metwally
Control Systems and Optimization Letters Vol 2, No 3 (2024)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v2i3.165

Abstract

This paper tackles the tracking position control dilemma of permanent magnet linear synchronous motors with parameter uncertainties and load force disturbance. Adaptive nonlinear backstepping control augmented with sliding mode control (SMC) is proposed to solve the problem of load force distribution. The backstepping is a recursive control technique where its stability is ensured at each step. However, its sensitivity to uncertainties, disturbances, and electromagnetic noise leads to unwanted performances. SMC is a well-known nonlinear robust approach for uncertain dynamical systems and reduces its parametric adaptive laws.  However, implementing this technique in real-time applications is stopped by its main shortcoming, the undesirable chattering phenomenon.  The saturation function is used to reduce the chattering phenomenon.  The incorporation of these approaches is a promising solution to provide a suitable position tracking of PMLSM in the presence of parameter uncertainties and load force disturbance. The simulation tests have been performed on the PMLSM system to prove the effectiveness and robustness of the proposed controller law.  The results highlighted satisfactory position tracking performance in transient conditions and steady-state and under different load force disturbances.
A Comprehensive Review of Environmental and Economic Impacts of Autonomous Vehicles Uzzaman, Asif; Muhammad, Waseem
Control Systems and Optimization Letters Vol 2, No 3 (2024)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v2i3.131

Abstract

The development of autonomous vehicles (AVs) holds great potential for revolutionary improvements in several fields, most notably the economic and environmental domains. This paper analyzes the two-pronged effects of AVs, showing both the advantages and disadvantages that may arise. With their enhanced fuel efficiency, integrated electric vehicle technology, and driving behaviors, autonomous vehicles (AVs) have the potential to drastically reduce emissions and have a positive environmental impact. Lower carbon footprints could also be achieved by improved urban design and the possibility of less traffic congestion. In terms of the economy, AVs present chances for new transportation service business models, lower accident-related costs, and cost reductions in logistics. Nevertheless, there are drawbacks to these developments as well, such as high upfront costs, the possibility of employment displacement in the driving industry, and the requirement for strong regulatory frameworks to guarantee security and safety. It is anticipated that autonomous vehicles will improve lane management, acceleration, and deceleration, which could result in less gasoline being used. In a place like California where traffic congestion is a well-known issue, this is especially pertinent. When paired with electric cars (EVs), autonomous vehicles (AVs) have the potential to significantly lower greenhouse gas (GHG) emissions, supporting California aggressive climate targets, which include becoming carbon neutral by 2045. To maximize the positive effects of AVs while minimizing their negative effects, this review summarizes the most recent studies, offering a fair assessment of their implications. It also identifies important topics for further research.
Nanomaterials in Industry: A Review of Emerging Applications and Development Kumar, Swarup; Khan, Saidul Islam; Neidhe, Md Musfiqur Rahman; Islam, Monirul; Hasan, Md Mehedi
Control Systems and Optimization Letters Vol 2, No 3 (2024)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v2i3.135

Abstract

Nanomaterials are materials where at least one dimension is smaller than 100 nanometers, unlocking a realm of extraordinary properties that set them apart from their bulk counterparts. These materials exhibit unique behaviors, such as enhanced electrical conductivity, superior mechanical strength, and heightened chemical reactivity. Due to these qualities, they are widely used in sectors like as electronics, healthcare, energy, and environmental preservation. Nanomaterials have made it possible for electronics to get smaller, and they have enhanced medication delivery and diagnostics in the medical field. They are perfect for energy conversion and storage technologies like solar cells and batteries because of their large surface area and conductivity. Furthermore, the use of nanoparticles in sustainable agriculture and environmental remediation is being investigated. Nevertheless, there are still difficulties in meeting regulatory requirements, guaranteeing safety, and increasing output. This paper looks at the many uses for nanomaterials, emphasizes their promise, and discusses the obstacles preventing a wider industrial acceptance of them.
A Comprehensive Review of Hydraulic Systems in Aerospace and Construction Engineering Kumar, Sree Biddut; Hossem, Md Saim; Sayed, Abu
Control Systems and Optimization Letters Vol 2, No 3 (2024)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v2i3.127

Abstract

This paper provides a thorough examination of hydraulic systems used in construction and aerospace, emphasizing new developments and their vital functions in contemporary engineering. In the aircraft industry, where dependability at high altitudes is critical, hydraulic systems are essential for precise control over landing gear, flying surfaces, and brake systems. Fly-by-wire technology and advancements in lightweight materials, such carbon fiber-reinforced plastics, have greatly improved system efficiency and decreased mechanical complexity, satisfying the exacting aerospace standards for accuracy, weight efficiency, and dependability. Hydraulic systems provide the force required for heavy lifting and earthmoving operations in a variety of settings, powering vital pieces of equipment such as excavators, cranes, and loaders in the construction industry. Performance, fuel economy, and safety have all increased as a result of recent developments, such as digital automation and energy-efficient designs. For instance, more automation and accuracy are now possible with electro-hydraulic controls, which lowers human effort and increases productivity on construction sites. Each sector's unique problems are also covered in this analysis, such as fluid dependability in harsh environments, system complexity, thermal management, and environmental issues including energy efficiency and fluid leakage. Future trends are examined in the assessment's conclusion, with a focus on sustainable practices such energy-efficient designs and biodegradable hydraulic fluids. By focusing on these fields and developments, this research shows how hydraulic systems continue to propel industrial development, adjusting to intricate needs and advancing engineering applications' technical capabilities.
A Comprehensive Study of the Importance of Materials for Renewable Energy Generation Pranto, Jubaer Akon; Kadir, Md Moin; Khan, Md. Yakub Ali
Control Systems and Optimization Letters Vol 2, No 3 (2024)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v2i3.119

Abstract

The main objective of this review is to show the importance of materials in renewable energy generation. Making the switch to renewable energy sources is essential for promoting sustainable growth and halting global warming. This extensive study looks at the critical role that materials play in the production of renewable energy, emphasizing how important they are for improving efficiency, cutting costs, and guaranteeing the longevity of energy systems. Key components of solar, wind, hydro, and biomass energy technologies are the subject of this study. Examples of these components are silicon for solar cells, rare earth metals for wind turbines, and organic matter for biomass conversion. It also examines the effects of cutting-edge energy storage technologies, such as supercapacitors and lithium-ion batteries, on the stability and dependability of renewable energy systems. Materials play a key role in increasing the performance and lowering the cost of renewable energy generation technologies, including fuel cells, wind turbines, solar panels, and batteries. Due to its high energy conversion efficiency and widespread availability, silicon continues to be the most widely used material in photovoltaic (PV) solar panels. However, novel materials such as perovskites offer promise for obtaining higher efficiencies at reduced manufacturing costs. The difficulties in extracting, processing, and recycling materials are discussed, highlighting the necessity of sustainable methods and creative approaches in the field of material science. Many high-performance materials are costly or challenging to manufacture on a large scale, such as advanced composites and some rare earth elements. A big problem is cutting prices and locating more plentiful alternatives. The study highlights the vital need for ongoing research and development in materials to optimize renewable energy technologies and support the worldwide move towards a low-carbon future by examining existing advancements and future potential.
A Review of Analysis and Existing Simulation Model of Three Phase Permanent Magnet Synchronous Motor Drive (PMSM) Ali Khan, Md. Yakub
Control Systems and Optimization Letters Vol 2, No 3 (2024)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v2i3.151

Abstract

The main objective of this research is to review the existing simulation model of three phase Permanent Magnet Synchronous Motor Drive (PMSM). This review enhances the understanding of dynamic and steady-state performance of PMSM system. Because of their exceptional power density, precise control features, and great efficiency, permanent magnet synchronous motors, or PMSMs, have drawn a lot of interest. A thorough examination of the modeling, simulation, and control approaches for three-phase PMSM drives is given in this paper. To comprehend motor dynamics, the research looks at a number of mathematical models of PMSM, such as analogous circuit models and d-q axis representation. Software tools such as MATLAB/Simulink are used in simulation techniques to test these models and forecast system performance under various operating situations. In addition, the impact of control systems like Direct Torque Control (DTC) and Field-Oriented Control (FOC) on performance optimization is explored. The research gaps that still need to be filled are highlighted in the paper's conclusion, along with possible future study topics. The review emphasizes how well-advanced control techniques like Direct Torque Control (DTC) and Field-Oriented Control (FOC) can improve PMSM performance. It also stresses how crucial precise d-q axis modeling and simulation tools are to reducing torque ripple, increasing efficiency, and guaranteeing reliable operation in a variety of applications.

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