Technological advancements continue to influence various aspects of human life, including efforts to overcome energy challenges in underserved areas. In the context of community empowerment, integrating efficient and sustainable energy solutions has become essential. This study examines the application of the Linear Quadratic Regulator (LQR) in optimizing the performance of three-phase induction motors for community-based energy systems. Using MATLAB/Simulink R2018a, this research develops a control model designed to enhance motor efficiency and stability, particularly in environments with limited technical resources. State-space modeling is employed as the analytical framework, enabling accurate predictions of system behavior by considering internal dynamics. Initial simulations indicate that, without effective controllers, the system experiences significant oscillations and instability when subjected to an input voltage of 0.5 V. This emphasizes the importance of advanced controllers like LQR in stabilizing motor performance. Step signal tests with setpoints of 0.848 (Order 1) and 0.01905 (Order 2) demonstrate the controller's ability to achieve system stability and operational efficiency. The study highlights the potential of these technologies in empowering communities by improving the reliability of small-scale energy systems, creating economic opportunities, and promoting sustainable development. The findings serve as a framework for implementing scalable energy solutions tailored to the specific needs of rural and underserved regions.