A Comparative Study of DC Motor Speed Control Techniques Using Fuzzy, SMC and PID
Ahmed M. Almawla, Marwan J. Hussein, Afrah T. Abdullah
Abstract
An overview of intelligent control techniques for the speed control of a direct current (DC) motor has been described in this study.Using the MATLAB SIMULINK platform, the individually excited DC motor speed control system implemented as a physical model.A mathematical model for both the sliding mode control (SMC) method and PID control, a traditional control methodology that ensures the speed controller has been developed.For comparison's sake, fuzzy logic is constructed using the Mamdani Technique with two inputs to obtain the necessary speed control.In addition, to select the optimal gain, the output signal of The PID controller and SMC were contrasted with fuzzy logic in terms of overshoot peak and stability time period.The outcomes prove the SMC's superiority over the PI controller and fuzzy logic approach.Based on time domain characteristics, this article presents a comparative study between Proportional-Integral-Derivative (PID), a sliding mode control (SMC), and fuzzy logic controller (FLC) controllers.The study concludes the less overshoot peak and fast response through fixed Properties for the DC motor and its mechanical variations due to operating conditions.Based on transient response study, the results show that SMC is superior to fuzzy logic and classical controllers PID.