Maritime in Community Service and Empowerment

Optimization of DC Motor 80BL Using LQR Methods on MATLAB Simulink for Community Empowerment Applications

Anisa Fitri Santosa, Rama Arya Sobhita, Anggara Trisna Nugraha — Sat, 15 Apr 2023 00:00:00 +0000

Optimization techniques are essential tools for achieving the best possible outcomes in various fields, from engineering and economics to social sciences, including community empowerment. These techniques allow for optimal decision-making processes, especially in situations requiring minimal costs and maximum benefits. In the context of community service and empowerment, optimization techniques can enhance local initiatives, such as small-scale manufacturing, agricultural processes, and the development of community-based enterprises, by improving efficiency and reducing unnecessary costs. For example, in the design of infrastructure projects or the optimization of energy distribution systems, optimization techniques ensure that resources are used effectively to serve the community's needs. Moreover, by applying optimization methods, communities can enhance their self-sufficiency and contribute to sustainable development. The ability to minimize costs while maximizing utility can be a game-changer, particularly in underdeveloped areas where resources are limited. This research focuses on the optimization of a DC Motor 80BL using Linear Quadratic Regulator (LQR) methods on MATLAB Simulink, offering an advanced solution for community empowerment applications. LQR provides an optimal input that results in state feedback, represented by a constant gain within the system’s state, which can significantly improve the efficiency of various mechanical systems used in community-driven projects. The application of these optimization methods in community development ensures that local industries and projects can operate at their highest potential.

Optimization of Application Control Using LQR and LQT Approaches: A Study on Community-Based Development Programs

Rachma Prilian Eviningsih, Anggara Trisna Nugraha, Rama Arya Sobhita — Sat, 15 Apr 2023 00:00:00 +0000

The rapid advancements in technology today have led to a growing reliance on automated tools over manual human labor. One of the widely used actuators across various fields is the DC Motor. This paper focuses on integrating tools with Linear Quadratic Regulator (LQR) and Linear Quadratic Tracker (LQT) approaches. LQR is an optimal control method applied to state-space-based systems. The LQR controller requires the definition of two parameters, namely the Q and R weighting matrices, which must be carefully determined to achieve optimal control actions as desired. Unlike the Proportional-Integral-Derivative (PID) controller, which features systematic tuning methods like Ziegler-Nichols and Cohen-Coon, the LQR controller lacks a dedicated systematic tuning methodology for determining the Q and R weighting matrices. The implementation of these approaches in this study aims to produce more efficient and effective outcomes, particularly in the context of community-based development programs. By optimizing the control systems used in community projects, this research contributes to enhancing the reliability and sustainability of technological solutions applied to improve societal well-being.

A Study on the Application of One-Phase Controlled Wave Rectifiers for Full Resistive Load in Community

Bambang Gunanto — Wed, 15 Nov 2023 00:00:00 +0000

A rectifier is a vital electronic device used to convert alternating current (AC) into direct current (DC), serving critical roles in industrial applications such as Uninterruptible Power Supplies (UPS), constant voltage regulation, motor speed control, and power factor correction. Its versatility extends to supporting small-scale industries, educational institutions, and public utilities, making it a key technology for community energy solutions. This study focuses on the design and implementation of a single-phase controlled rectifier utilizing the Pulse Width Modulation (PWM) method. The PWM approach enables precise regulation of output voltage while improving power factor efficiency. Experimental analysis was conducted under two key conditions to evaluate performance: (1) maintaining a constant resistive load with varying input voltages and (2) adapting to variable resistive loads with a fixed input voltage. These tests measured the rectifier's ability to provide stable output under dynamic operational scenarios. The results indicate that the single-phase controlled rectifier employing PWM demonstrates high reliability and efficiency. It consistently maintains stable output voltages, even when subjected to fluctuations in load or input voltage. These capabilities underscore its potential as a robust energy solution for diverse applications, including renewable energy systems, microgrids, and small-scale industrial processes. By addressing energy challenges and offering dependable performance, the single-phase controlled rectifier with PWM presents an innovative tool for improving energy access in underserved areas. This technology supports sustainability goals and enhances the resilience of energy infrastructure in community-focused projects.

Comparative Evaluation of the Performance of LQR and LQT Methods in Limited Actualized Mechanical System Control for Technology Empowerment in Local Communities

Naufal Rendra Saputra — Mon, 15 Apr 2024 00:00:00 +0000

This study compares the performance of the Linear Quadratic Regulator (LQR) and Linear Quadratic Tracking (LQT) methods in controlling a limited oscillatory mechanical system, with a focus on their potential applications in community-based technology empowerment programs. The comparison was conducted using numerical simulation techniques, with key performance indicators such as mean squared error (MSE) and convergence time. The results show that the LQR method outperforms LQT in controlling the oscillatory system with more consistent accuracy and faster convergence. However, LQT demonstrates superior flexibility and robustness in handling more complex scenarios and unexpected perturbations. These characteristics make LQT particularly suitable for applications in dynamic environments, such as those found in local industries or community-driven projects. The choice of method ultimately depends on the specific requirements and conditions of the system being controlled. This research contributes to community development by exploring efficient control strategies that can improve local industrial systems, leading to better energy utilization and productivity, which in turn supports sustainable economic growth within the community.

Application of Alternating Current (AC) Generators in Turbine Systems for Sustainable Lighting Solutions in Rice Fields Near Beron Reservoir

Avada Rifqi Insani — Wed, 15 Nov 2023 00:00:00 +0000

Beron Reservoir, located near rice fields, channels water into the surrounding agricultural lands. The water flow from this reservoir has the potential to be utilized for providing lighting to rice fields at night, optimizing the photosynthesis process for rice plants. The river flow rate, measured at approximately 1.9 m/s, is considered relatively low, making it challenging to generate large-scale electrical energy. This scientific study explores the application of generators in turbine systems to harness the water flow from the reservoir. Data was collected through direct observation and secondary references, acknowledging the potential risks of failure during the development process. The experimental results showed a 2:1 loss ratio in the generator’s operation. The average output voltage produced was 2.19V. Testing conducted at five different times over a single day confirmed that the generator system could be applied for the intended purpose.

Evaluation of the Effectiveness of the Use of LQR-LQT Control System on DC Motor Dunkermotor GR30X10 for Energy Efficiency Improvement in Technology-Based Community Empowerment Program in Village X with SISO Approach Using MATLAB Simulink

Mochammad Nawal Gibran — Fri, 15 Nov 2024 00:00:00 +0000

This paper presents a modeling of the LQR and LQT control systems simulated in a SISO (Single Input, Single Output) setup using MATLAB Simulink. The simulation is conducted on wireless communication signals, where the input signal transmitted is expected to match the output at the receiver. However, during data transmission, disturbances such as noise often occur, which are typically outside the sender's control. Therefore, this research explores the differences between a standard SISO system and one that includes noise disturbances. The findings are significant in demonstrating the effect of noise on the efficiency of communication systems and how advanced control methods like LQR and LQT can be utilized to mitigate the impact of such disturbances in real-world applications, particularly in the context of community empowerment programs. These programs leverage technological innovations to optimize energy usage and improve productivity in rural areas.

Implementation of LQR and LQT to Improve Energy Efficiency and Performance of DC Motor Control Systems in Support of Community Empowerment Programs

Naufal Hariz — Mon, 15 Apr 2024 00:00:00 +0000

The implementation of Linear-Quadratic Regulator (LQR) and Linear-Quadratic Tracker (LQT) is an effective method for optimizing the performance of DC motor control systems. This study aims to evaluate the performance of LQR and LQT in controlling the speed of DC motors using microcontrollers. The control system comprises a speed sensor, a microcontroller, and a DC motor, integrated to ensure efficient and reliable operation. The results indicate that the implementation of LQR and LQT significantly enhances the stability of DC motor control systems by reducing overshoot and achieving faster settling times compared to the PID control method. Additionally, LQT demonstrates superior speed tracking accuracy over LQR, as evidenced by a lower mean squared error. These findings are particularly relevant for community empowerment programs where energy-efficient and cost-effective technologies are crucial. For example, implementing LQT-controlled DC motors can optimize energy usage in agricultural tools, creative industries, and education-focused initiatives in underserved communities. By bridging advanced control technology and practical applications, this research contributes to the development of sustainable, energy-efficient solutions that support community development programs. These results serve as a reference for further applications of LQR and LQT in other DC motor control systems within community service projects.

LQR and LQT System Optimization Models to Improve the Output Response Performance of Brushless DC Motors (BLDC) in the Context of Maritime Community Empowerment

Ilham Akbar Syafa'atullah — Fri, 15 Nov 2024 00:00:00 +0000

Brushless DC Motors (BLDC) are essential components commonly found in industrial settings and daily applications. To ensure optimal performance, control systems are required to enhance the operational efficiency of these motors. Modeling plays a critical role in determining whether the inherent response of a BLDC motor, even before applying a load, meets the desired performance criteria. Common plant models include SISO, SIMO, MISO, and MIMO systems, each requiring a mathematical representation to illustrate system responses through graphical outputs generated using software tools. This research focuses on the mathematical modeling of first-order and second-order BLDC motors, specifically the 42BLFX02 type, and examines their responses under different configurations, both with and without noise. In real-world scenarios, it is unrealistic for a plant to operate without disturbances, with internal noise being a common issue that impacts system performance. The study aims to compare the responses of first-order and second-order BLDC motors modeled in SISO, SIMO, MISO, and MIMO configurations, highlighting the effects of noise disturbances. Results indicate that the SISO model without noise exhibits the most optimal response, characterized by linear behavior and the absence of ripples. Additionally, second-order mathematical models produce responses closer to the setpoint values compared to first-order models. In MISO and MIMO configurations, the system's output responses tend to align with the shape of one of the input signals. Furthermore, noise inclusion causes the motor's output response to mimic the shape of the introduced noise signals. This study contributes to the development of control systems by providing insights into motor response behavior under various modeling configurations. The findings have significant implications for empowering maritime communities, particularly by optimizing energy-efficient BLDC motor applications in vessels to improve operational reliability and reduce energy consumption.