INVESTIGATION OF SPEED CONTROL PERFORMANCES OF THE FUZZY LOGIC CONTROLLERS HAVING DIFFERENT MEMBERSHIP FUNCTIONS AND INFERENCE METHODS

Year 2017, Volume: 18 Issue: 4, 831 - 841, 31.10.2017

Sinan Ünsal , İbrahim Alışkan

https://doi.org/10.18038/aubtda.341397

Cited By: 1

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.

Keywords

Permanent magnet synchronous machine, Fuzzy Logic

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