Comparative Speed Control Study Using PID And fuzzy Logic Controller

Abstract 

This paper presents the most commonly used controller in the industry field is the (PID) controller. Fuzzy logic controller (FLC) provides an alternative to PID controller. The purpose of this paper is to design a Fuzzy Logic controller to improve the performance (speed) of the DC motor in order to control the angular speed of the motor. The purpose of Fuzzy Logic controller is to improve the performance of DC motor by controlling the speed of the motor using different system and to show that the Fuzzy Logic controller can be used on the DC motor control.

1-Introduction  

The speed of DC motor can be adjusted to a great extent so as to provide easy control and high performance. There are several conventional and numeric controller types intended for controlling the DC motor speed at its executing various tasks, PID Controller, Fuzzy Logic Controller [1]. The terms fuzzy logic is used with a number of deferent meanings. Fuzzy logic has been successfully applied to many control problems, more than any other areas of applications. Various fuzzy programming tools have been developed to facilitate fuzzy rule of control. Fuzzy logic developed by Zadech is applied for controller design in many applications. A fuzzy logic controller (FLC) was proved analytically to be equivalent to a nonlinear PI controller when a nonlinear defuzzification method is used. The result from the comparisons of conventional and

fuzzy logic controller techniques in the form of FLC and fuzzy compensator also showed fuzzy logic can reduce the effects of nonlinearity in a DC motor and improve the performance of a controller [2].