Simulation Analysis of LQR & LQT (Linear Quadratic Regulator & Linear Quadratic Tracking) with M644E DC Motor Plant

Abstract

In today's modern era, the development of renewable technology is increasingly rapid, which of course was created by humans. One method used by humans to develop technology is to optimize the system. System optimization is a way to achieve the best desired results. This is comparable to a control system, which is designed to replace the role of humans in controlling a system. Some system optimization circuits include the LQR (Linear Quadratic Regulator) and LQT (Linear Quadratic Tracking) circuits. LQR and LQT have different purposes. LQT is used to find optimal solutions in control problems that aim to keep the system with variables/outputs within small limits, while LQR is used to find optimal solutions in tracking problems that aim to force the system output to follow the desired path. In this paper, the LQR and LQT optimal control systems will be discussed using the M644E DC motor plant.