<![CDATA[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.]]>
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