The system model is crucial for the design of control systems, as it serves as a reference for developing control strategies. An accurate system model is necessary to ensure effective performance. This experiment focuses on designing an online system identification technique based on MATLAB to obtain models for Single Input, Single Output (SISO), Multi Input, Single Output (MISO), and Multi Input, Multi Output (MIMO) systems. The system models were simulated using the 054B-2 DC Motor model for both Order 1 and Order 2 configurations. In control systems, noise is often present, acting as a disturbance that affects the system's output. Noise can cause undesirable effects such as high overshoot... More >

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 acc... More >