BN12 DC Motor Control Using Linear Quadratic Regulator (LQR) and Linear Quadratic Tracking (LQT) Circuits

Abstract

In the era of rapid technological development, innovation in the field of engineering is increasingly dominating various industrial sectors. One of the crucial approaches to improving system performance is through optimization, which aims to obtain optimal system conditions in terms of both efficiency and stability. System optimization is not only limited to improving energy efficiency, but also to precise dynamic control, as in DC motor systems. One of the main challenges in controlling DC motors is minimizing the interference that occurs when the motor is first started, otherwise known as the peak "spike". In this study, we focus on two optimization techniques that are often used in dynamic system control, namely Linear Quadratic Regulator (LQR) and Linear Quadratic Tracking (LQT). Both methods are known for their ability to design optimal controls that can reduce instability and improve overall system response. The study will use a BN12-type DC motor as an example of a system (plant) to implement the two techniques and compare their performance. The results of this study aim to provide deeper insights into how LQR and LQT methods can be applied in DC motor control to achieve optimal performance in various operational conditions.