Maritime in Community Service and Empowerment

Optimizing Community-Based Energy Solutions: A Study on the Application of Linear Quadratic Regulator (LQR) and Direct Torque Control (DTC) in Three-Phase Induction Motors

Anggara Trisna Nugraha — 2025-04-15

This study explores the development of a method for controlling the speed of three-phase induction motors using Linear Quadratic Regulator (LQR) and Direct Torque Control (DTC). By combining LQR and DTC, this method enables direct control of torque and stator flux, which plays a crucial role in optimizing energy systems for community-based applications. The rotor speed, torque, and flux are estimated using DTC, with input provided from stator voltage and current. The motor’s speed is compared to a reference speed, generating an error, which, along with the speed change rate (delta error), serves as input for the LQR controller. Simulation results demonstrate rapid speed response under startup conditions, load changes, and setpoint variations, highlighting the robustness of the control system in real-world applications, such as rural energy systems. During load change conditions, the speed response shows minimal deviation, ensuring stable operation even under disturbances. For a load torque of 30 N·m, the maximum overshoot is 4.6735%, with a peak time of 0.007 seconds and a settling time of 0.111 seconds. The motor speed errors for reference speeds of 1450 rpm, 725 rpm, 725 rpm, and 362.5 rpm are 0.03%, 0.03%, 0.08%, and 0.027%, respectively, compared to the actual motor speed. This research contributes to the development of efficient, low-cost energy solutions that could be adapted for community-based projects, particularly in rural and underserved areas, helping to optimize local power generation and distribution systems for sustainable development.

Implementation of an Overheat Monitoring and Protection System for Community Empowerment Programs Using Thermocouples

Akhmad Azhar Firdaus — 2025-04-15

Induction motors, which operate continuously, such as those used in power plant cooling systems, are at risk of failure that can result in significant losses, such as power outages when the turbine halts due to overheating. Therefore, it is crucial to have a system that monitors the temperature of the induction motor to detect potential overheating and facilitate maintenance. This study aims to design and test a temperature monitoring system for induction motors using thermocouple sensors connected to an LCD display. The methodology begins by identifying issues related to motors running non-stop, followed by a review of relevant literature and system design. Once the system was built, testing was conducted by heating the probe and measuring the temperature with a thermometer to compare the readings with those from the thermocouple sensor. The test results showed that the system accurately displayed the temperature on the LCD, with an error margin that was calculated to evaluate the sensor's accuracy. Based on these results, it can be concluded that the temperature monitoring system functions well and can be used as a reliable overheat detection system for induction motors. This system is expected to simplify maintenance processes and reduce the risk of motor damage caused by overheating. Additionally, the integration of this technology in community-based power plant initiatives could enhance the sustainability and safety of rural energy projects, ensuring a more reliable power supply for community empowerment programs.

Development of a Microcontroller-Based Clean Bilge System Prototype with Power Monitoring for Community Empowerment

Yoga Bagus Nugraha — 2025-04-15

Oil waste remains a significant contributor to marine pollution, primarily due to a lack of awareness and understanding regarding its proper management. This research focuses on addressing this issue through the development of a microcontroller-based clean bilge system prototype equipped with a power monitoring feature. The study is designed as a community engagement initiative aimed at fostering environmental consciousness and technological literacy among various societal groups. The methodology employs a participatory approach, starting with problem identification to understand the limited knowledge surrounding the importance of bilge systems on ships. Relevant literature on bilge systems and the environmental impacts of oil pollution is reviewed to inform the design of a practical solution. Stakeholders, including students and community members, are actively involved in the research process to ensure that the proposed innovation aligns with real-world needs. The results introduce a compact and user-friendly prototype that replicates the essential functions of a ship's bilge system. The integrated power monitoring system enhances operational efficiency by providing real-time feedback, allowing for immediate resolution of power-related issues. This innovation not only serves as a practical tool for educating communities about sustainable marine practices but also acts as a preventive measure to minimize the environmental harm caused by improper oil waste disposal. This study contributes to community service efforts by bridging the gap between environmental sustainability and technological education. The proposed solution has the potential to inspire further adoption of clean bilge systems and supports broader initiatives in marine conservation and community empowerment.

Simulation of DC Motor Control Systems Using SISO, SIMO, MISO, and MIMO Configurations with LQR and LQT Control for Sustainable Community

Muhamad Rifqi Anugrah Syafa’at — 2025-04-15

Electric motors are devices that convert electrical energy into mechanical energy. In a DC motor, this energy conversion occurs as a current flows through a coil in the stator, causing the rotor to rotate due to magnetic field repulsion. This research focuses on the application of DC motors in community service projects, particularly in systems that support sustainable development efforts in rural and underdeveloped areas. In such settings, DC motors are often used in various community development projects, including water pumping systems, small-scale energy generation, and agricultural machinery. The ease of controlling DC motors, particularly through advanced control systems, makes them ideal for these applications. This study investigates the impact of different control strategies on the performance of DC motors, specifically comparing SISO (Single Input, Single Output), SIMO (Single Input, Multiple Output), MISO (Multiple Input, Single Output), and MIMO (Multiple Input, Multiple Output) systems. Each of these systems offers unique advantages for controlling the motor's performance, such as optimizing speed, torque, and energy efficiency, which are critical in real-world community applications. The simulation results will provide insights into the advantages of each control system and highlight how these can improve the overall efficiency and reliability of systems that directly impact community welfare. The findings from this study are expected to be highly relevant for community service applications, offering practical solutions for enhancing the quality of life through better-designed technologies and optimized systems.

Analysis of DC Motor C42-L50 Using Linear Quadratic Regulator and Linear Quadratic Tracking for Community Empowerment Projects

Yulian Fatkur Rohman — 2025-04-15

This simulation represents a critical step in studying the waveform characteristics of the DC motor C42-L50 using a control system circuit with Linear Quadratic Regulator (LQR) and Linear Quadratic Tracking (LQT). Prior to initiating the simulation and data collection, a mathematical model was formulated using the datasheet of the DC motor C42-L50. Based on this model, further analysis was conducted, followed by simulations using MATLAB Simulink to explore and evaluate the differences between LQR and LQT in terms of the waveform or graphical characteristics of the DC motor. The analysis involved observing the simulation scope in MATLAB Simulink and experimenting with noise introduced into the system circuit. To align this study with community empowerment objectives, the findings aim to enhance the reliability and efficiency of DC motor applications in community service projects. For instance, the improved motor control facilitated by LQR and LQT methodologies can support the development of renewable energy solutions, agricultural automation systems, or other local technological advancements. This approach underscores the practical benefits of integrating advanced control systems into projects that promote sustainable community development.

Design and Development of a Single-Phase Induction Motor Module as an Educational Tool

Muhammad Iham Fatqurrochman — 2025-04-15

In the field of education, particularly in marine electrical engineering, knowledge of single-phase capacitor motors is essential. To equip students with a solid understanding of the principles and operation of single-phase capacitor AC motors, appropriate infrastructure and learning tools, such as trainer kits, are required. A trainer kit functions as a basic educational tool that enhances comprehension of single-phase capacitor induction motors, which is crucial for students studying specialized courses in electrical motors. This tool enables various practical experiments, such as measuring the insulation resistance of motor windings, reversing the motor's rotation, testing the starting process of capacitor motors, and analyzing the power factor of capacitor motors. Additionally, a single-phase induction motor with a capacitor start can be used as a split-phase motor. The starting current in a split-phase motor is higher compared to a capacitor-start induction motor because the capacitor increases the starting power, resulting in a smaller current compared to the split-phase motor.

Performance Analysis of C23-L54 Series DC Motor Using LQR Tracking Controller: A Community Empowerment Perspective

Rachma Prilian Eviningsih — 2025-04-15

Technological advancements continue to shape and enhance various aspects of human life, including efforts to address energy challenges in underserved communities. In the context of community empowerment, the integration of efficient and sustainable energy solutions has become critical. This study explores the application of Linear Quadratic Regulator (LQR) in optimizing the performance of three-phase induction motors for community-based energy systems. Using MATLAB and SIMULINK r2018a, the research develops a control model aimed at improving motor efficiency and stability, particularly in settings with limited technical resources.The research adopts state-space modeling as the analytical framework for complex control systems, allowing precise predictions of system behavior by considering internal dynamics. Initial simulations revealed that, without effective controllers, the system exhibited significant oscillations and instability when subjected to an input voltage of 0.5 V. This highlights the necessity of advanced controllers such as LQR to stabilize motor performance. Step signal testing with setpoints of 0.848 (Order 1) and 0.01905 (Order 2) demonstrates the controllers' effectiveness in achieving system stability and operational efficiency. The study underscores the potential of these technologies to empower communities by enhancing the reliability of small-scale energy systems, fostering economic opportunities, and supporting sustainable development. The findings provide a blueprint for deploying scalable energy solutions tailored to the unique needs of rural and underserved areas.

Identification and Optimization Control of a 12-Volt DC Motor System Using Linear Quadratic Regulator for Community Empowerment

Muhammad Bilhaq Ashlah — 2025-04-15

Direct current (DC) motors are among the most commonly utilized electric motors in various industries due to their robust and reliable regulatory characteristics. These motors also hold significant potential for application in community-based programs, particularly in renewable energy and small-scale mechanization projects that aim to empower underprivileged communities. To effectively analyze a DC motor system, it is essential to mathematically model its operational variables. This mathematical model is expressed as a transfer function, which is integrated into the simulation process using the Matlab Simulink platform. Typically, first- and second-order equations are used to represent these transfer functions. The optimization process involves the state-space representation to determine the K gain value, which is critical for achieving precise control. The Q value, derived from the multiplication of the C transpose and C matrix, directly influences the system's step response speed, while the R value is predetermined at 0.000001. Adjusting these parameters enables an optimized balance between response speed and system stability. This research provides a foundational framework for leveraging DC motor optimization in real-world applications, particularly in community empowerment programs. By enabling more efficient control mechanisms, this study contributes to the development of affordable and sustainable energy solutions, such as small-scale irrigation systems, local production facilities, or microgrid systems in remote areas.