Speed Control of DC Motor Using Proportional–Integral–Derivative Controller and Fuzzy Logic

Abstract

Fuzzy control systems have been successfully applied to a wide variety of practical problems. It has been shown that these controllers may perform better than conventional controllers, especially when applied to processes difficult to model, with nonlinearities. On the other hand, the direct current (DC) motor has been widely used as well because it is one of the most common actuators used in control systems. The main objective of this research is to control the speed of DC motor using a combination of the Fuzzy Logic Controller (FLC) and the proportional–integral–derivative (PID) controller. In this study, the targeted problem is the design of the circuit for control of the DC motor based on an Arduino unit. The employed tools are Protus and MatLab. The design and implementation steps will be shown and explained throughout the thesis and the results are discussed based on the speed of response. It will be shown that the speed of response and precision are better in terms of performance than the conventional PID model.