Anggara Trisna Nugraha
Marine Electrical Engineering, Shipbuilding Institute of Polytechnic Surabaya, Indonesia

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Application of LQR-PID Control in Eddy Current Brake Dynamometer Systems for Community Skill Development Anggara Trisna Nugraha; Jatmiko Adi Wijay
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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This paper presents a comparative analysis of classical PID control techniques and modern control approaches in the Eddy Current Brake Dynamometer system. Eddy Current Brakes, as modern braking systems, require efficient control mechanisms to enhance their performance. Traditionally, PID control has been widely employed; however, it is often deemed suboptimal in certain scenarios. To address these limitations, this study explores the development of a more modern and optimal control system utilizing Full-State Feedback Linear Quadratic Regulator (LQR). The comparative analysis of braking response times was simulated using MATLAB/Simulink. Results demonstrate that LQR control outperforms PID control in terms of braking response, with a settling time (Ts) of 2.12 seconds, a rise time (Tr) of 1.18 seconds, and zero overshoot. Conversely, while PID control achieves faster Ts (0.27 seconds) and Tr (0.18 seconds), it exhibits an overshoot of 0.7%, which may impact system stability. Furthermore, this research underscores the potential of integrating LQR-based control systems into community-oriented technical training programs. The improved performance metrics of the LQR control can enhance the practical learning experience, particularly in vocational education aimed at equipping underserved communities with advanced technical skills. By leveraging these findings, the study highlights the importance of adopting innovative control strategies to bridge the gap between theoretical knowledge and practical application, contributing to sustainable skill development initiatives.
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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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.