System Optimization Study on IG-22GM DC Motor Plant with LQR and LQT Analysis Approach

Abstract

A control system, or commonly known as a control system, is a device used to monitor, instruct, and manage the condition of a system. A DC motor, on the other hand, is a device that continuously converts electrical energy into kinetic energy or mechanical motion. DC motors have two terminals, namely the positive terminal and the negative terminal, which require voltage in order to operate. The use of DC motors is very common in a variety of modern industrial systems, with various specifications tailored to the needs of specific industries. One of the main reasons why DC motors are a top choice in modern industry is due to their ability to regulate rotational speeds over a wide range, thanks to the wide variety of speed control methods that can be applied. One common method used to regulate the speed of a DC motor is to use a speed control device, which allows the speed adjustment according to the needs of the device's working system. Therefore, experiments are needed to optimize the operation of DC motors through mathematical modeling and control systems using Matlab software. In the context of this problem, the two optimization methods used in this system are Linear Quadratic Regulation (LQR) and Linear Quadratic Tracking (LQT) to ensure optimal system operation. Therefore, in this study, we modeled and simulated an upgraded DC motor with optimized and non-optimized circuits.