STUDY OF DEFUZZIFICATION METHODS OF FUZZY LOGIC CONTROLLER FOR THE SPEED CONTROL OF DC MOTOR

摘要

The systematic study of defuzzification methods of Fuzzy Logic Controller (FLC) for the speed control of DC motor (Faulhaber, Switzerland; Model 2230U 015S) has been carried out in this paper. In the present study for the FLC, Center Of Gravity (COG), Center Of Maximum (COM), and Mean Of Maximum (MOM) methods are used as three different methods for defuzzification and IF-THEN rules are used for decision-making logic. Experimental setup includes LabVIEW, Signal Conditioning extension for Instrumentation (SCXI) cards, Data Acquisition (DAQ) board, and Fuzzy logic toolkit, all from National Instruments (NI), USA. For a rated speed of 1000 rpm, speed control of DC motor is done by the three defuzzification methods separately. Corresponding graphs of speed verses time are obtained. COG method for defuzzification is the best choice for the real time speed control of the DC motor using FLC in our present study.