The rapid advancement of telecommunications has significantly influenced various engineering applications, including control systems for electrical and mechanical systems. One crucial aspect of control system design is ensuring signal integrity and stability, particularly in Single-Input Single-Output (SISO) circuits. In this study, we analyze the performance of a DC motor within a SISO circuit using Linear Quadratic Regulator (LQR) and Linear Quadratic Tracking (LQT) control methods. The research employs a simulation-based approach, evaluating first-order and second-order system responses under different conditions, including scenarios with and without external noise interference. Experimen... More >

Optimization is a critical approach in decision-making processes aimed at enhancing both safety and operational efficiency in industrial systems. This research focuses on the implementation of the Linear Quadratic Regulator (LQR) and Linear Quadratic Tracking (LQT) control strategies to optimize the FL57BL02 DC motor control system, widely used in industrial automation, particularly in high-risk applications such as conveyors and robotic systems. The LQR method is employed to enhance system stability by minimizing output deviations and ensuring optimal control performance under varying load conditions. Meanwhile, LQT is utilized to improve trajectory tracking accuracy, ensuring that the syst... More >

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 >

The speed control of direct current (DC) motors represents a critical area of study in modern electromechanical systems, offering numerous techniques for precise regulation and adaptability. These techniques encompass adjustments in the number of pole pairs, integration of external resistance regulators, modulation of armature input voltage, implementation of vector control strategies, utilization of voltage converters, and the employment of Pulse Width Modulation (PWM) in conjunction with advanced power electronics. Collectively, these methods enable refined manipulation of motor behavior, allowing for targeted performance optimization across a wide array of industrial and practical applica... More >