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All Journal Maritime in Community Service and Empowerment
Rama Arya Sobhita
Marine Electrical Engineering, Shipbuilding Institute of Polytechnic Surabaya, Indonesia
Humanities Automotive Engineering Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Physics

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Evaluating the Impact of Noise on Optimal LQR Control Methods in Enhancing the Performance of DC Motor Systems for Community Rama Arya Sobhita
Maritime in Community Service and Empowerment Vol. 1 No. 2 (2023): MiCSE : Maritime in Community Service and Empowerment
Publisher : Politeknik Perkapalan Negeri Surabaya

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Abstract

In today’s fast-paced and ever-evolving world, technological advancements are rapidly transforming various sectors, and their impact is profoundly felt across multiple domains. The usefulness of technology and information is vast, with applications that touch almost every aspect of human life. As we witness these developments, the continuous progress in science becomes a key factor that drives innovation. By utilizing and refining existing knowledge, we can ensure that it functions optimally in addressing future challenges. In particular, the demand for electricity in industries is growing exponentially, necessitating well-distributed and efficient energy systems. One area where this need is crucial is in the optimization of electrical systems, specifically in propulsion engines, which play a significant role in community-based energy solutions. This research focuses on exploring the impact of noise on the optimization of control methods such as Linear Quadratic Regulator (LQR) and Linear Quadratic Tracking (LQT) when applied to DC motor systems. The goal is to investigate how these advanced control methods can be adapted for community-scale energy applications, ensuring efficiency and sustainability in energy distribution, especially in rural or underserved areas. By evaluating the effects of external noise on system performance, this study seeks to provide insights that can improve the reliability and effectiveness of DC motors used in renewable energy systems for local communities. The findings will contribute to the ongoing efforts to innovate and optimize technology for community empowerment and sustainable energy solutions.
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
Maritime in Community Service and Empowerment Vol. 1 No. 1 (2023): MiCSE : Maritime in Community Service and Empowerment
Publisher : Politeknik Perkapalan Negeri Surabaya

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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.
Optimization of DC Motor 80BL Using LQR Methods on MATLAB Simulink for Community Empowerment Applications Anisa Fitri Santosa; Rama Arya Sobhita; Anggara Trisna Nugraha
Maritime in Community Service and Empowerment Vol. 1 No. 1 (2023): MiCSE : Maritime in Community Service and Empowerment
Publisher : Politeknik Perkapalan Negeri Surabaya

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Abstract

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.
Co-Authors Anggara Trisna Nugraha Anisa Fitri Santosa Rachma Prilian Eviningsih