Treffer: Implementation of Fuzzy Logic System for DC Motor Speed Control using Microcontroller

This paper presents an insight into the speed control of DC motor using a fuzzy logic controller to meet the desired speed. Fuzzy logic is one of the most successful applications of fuzzy set in which the variables are linguistic rather than numeric. A fuzzy logic controller (FLC) is based on a set of control rules (fuzzy rules) among linguistic variables. The personal computer provides the necessary flexibility in setting any speed profile with the use of fuzzy packages. The proposed fuzzy controller results in a better response compared to the basic fuzzy controller and normal response of DC motor. It consists of two major parts; hardware implementation and software development. In the hardware part, H-bridge DC motor driver will be designed and developed. The designed H-bridge DC power converter will be used as the hardware interface between DC motor and the microprocessor-based fuzzy controller. A frequency to-voltage converter (FVC) and analogue-to-digital converter (ADC) will be used to convert and provide the actual speed signal from speed rotary tachometer, and to be used as fuzzy controller input. The software part aims to design and develop a digital fuzzy logic speed controller by varying the pulse width for DC motor applications using MATLAB/simulink. In summary, this paper hopes to demonstrate the capability of fuzzy logic in designing a controller for a DC motor. It also signifies the importance of the need for further research in the DC motor speed controller design.