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INVESTIGATION OF SPEED CONTROL PERFORMANCES OF THE FUZZY LOGIC CONTROLLERS HAVING DIFFERENT MEMBERSHIP FUNCTIONS AND INFERENCE METHODS
2017
Journal:  
Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering
Author:  
DOI:  
10.18038/aubtda.341397
Abstract:

Alternative current motors are generally modelled with constant system parameters. However, parameters of the motor show variations during operation due to complex, unidentified and nonlinear system dynamics. Fuzzy logic controllers are widely used as a solution to overcome this problem. Because, fuzzy logic controllers don’t be affected from model uncertainties of the system to be controlled. In this study, permanent magnet synchronous motor that is one of the alternative current motors is controlled with fuzzy logic controller. All stages of the designed controllers are developed by using unique softwares instead of ready toolboxes.  Triangular and trapezoidal membership functions with Mamdani and Larsen inference methods are used in the designed fuzzy logic controllers. Speed control performances of the fuzzy logic controllers have been investigated and compared with each other in the simulation studies. According to the obtained results from simulation studies, it is observed that fuzzy logic controllers designed with Larsen fuzzy inference method and trapezoidal input membership function provides better performance.

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Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering

Field :   Fen Bilimleri ve Matematik; Mühendislik; Sağlık Bilimleri

Journal Type :   Uluslararası

Metrics
Article : 648
Cite : 335
2023 Impact : 0.038
Quarter
Basic Field of Health Sciences
Q3
122/222
Basic Field of Science and Mathematics
Q4
107/135
Basic Field of Engineering
Q4
98/114
Details
Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering