Improving the Output Circuit System through the LQR and LQT Methods on the RS PRO 454-0883 DC Motor

Abstract

DC motors are components that are often found in everyday life, requiring direct voltage and current to operate. This electric motor is an electromechanical device that can convert electrical energy into mechanical energy. This paper discusses two methods, namely LQR and LQT, and considers noise, to examine the impact of noise on the system. This study uses a DC motor RS PRO 454-0883 to observe the effects of noise on the motor system. Modeling of various plant configurations, such as SISO, SIMO, MISO, and MIMO, is needed to describe the plant response graphically using software. MATLAB is used to conduct the study, including mathematical modeling of the motor to obtain the 1st and 2nd order Transfer Functions. Furthermore, simulations are carried out on each circuit for analysis. Finally, the output signals from the circuits are compared. The results show that noise has a significant impact on the 37GB500 DC motor, so an optimization method is needed to reduce noise in the motor. However, the second-order motor shows better performance compared to the first-order, as seen in the condition after the raise time