Output Response with LQR and LQT Methods on RS PRO 834-7641 DC Motor for Optimization. Elmi Hidayana

Abstract

Technological developments occur very quickly, and in the manufacturing process, various methods are applied by each developer. One method commonly used in technology creation is system optimization. System optimization is an approach used to achieve the best results on a particular technology. There are various methods for system optimization, such as SISO, MISO, SIMO, MIMO, and Noise. In this context, we will explore system optimization using SISO, MISO, SIMO, and MIMO circuits using the RS PRO 834-7641 DC Motor as a plant. The RS PRO 834-7641 DC motor is one of the plants that is easily accessible in the control system. The LQR optimal control method, which is state space based, is used in this system. The LQR controller has two main parameters, namely the weight matrices Q and R, which must be determined to create optimal control actions. In addition, the Linear-Quadratic Tracker (LQT) method is used as the main solution for tracking problems in linear systems. LQT is designed to design optimal control so that a linear control system can track a preset reference trajectory.