Rachma Prilian Eviningsih
Electrical Engineering, Electronic Engineering Polytechnic Institute of Surabaya, Indonesia

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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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Abstract

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.
Performance Analysis of C23-L54 Series DC Motor Using LQR Tracking Controller: A Community Empowerment Perspective Rachma Prilian Eviningsih; Anggara Trisna Nugraha
Maritime in Community Service and Empowerment Vol. 3 No. 1 (2025): MiCSE : Maritime in Community Service and Empowerment
Publisher : Politeknik Perkapalan Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35991/micse.v3i1.334

Abstract

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.