PID Versus Fuzzy Logic Controller Speed Control Comparison of DC Motor Using QUANSER QNET 2.0

This paper discusses the impact and significance of the PID controller and the fuzzy logic controller on the performance of a DC motor, particularly its speed regulation. On the one hand, the Proportional-Integral-Derivative (PID) controller and the fuzzy logic controller (FLC) are simulated in the MATLAB/SIMULINK environment. The simulation results, on the other hand, are validated in the experiment using LabVIEW software and a QUANSER QNET 2.0 DC motor. The LabVIEW software visualizes the system's response using virtual instruments and either stops or runs the process. A USB cable connects this software to the QUANSER QNET 2.0 DC motor. Although the PID controller is more widely used in industry, it still has some disadvantages, the most significant of which is that it cannot be more efficient with a non-linear and dynamic system. As a result, the fuzzy logic controller is presented in this work to be tested and compared to the PID controller. The fuzzy logic controller's inputs are error and change of error, and its output is armature voltage. A Mamdani engine system is used, with 7 membership functions for each input and output. The simulation and experiment results confirm that the fuzzy logic controller outperforms the PID controller in terms of stability and rapidity.