Author/Authors
alişkan, ibrahim bülent ecevit üniversitesi - mühendislik fakültesi, - elektrik-elektronik mühendisliği bölümü, Zonguldak, Turkey , ünsal, sinan gençlik ve spor bakanlığı - spor genel müdürlüğü, Ankara, Turkey
Title Of Article
Speed control of permanent magnet synchronous motor by using fuzzy logic controllers having different inference methods
شماره ركورد
41051
Abstract
Fuzzy logic is an artificial intelligence control method that is used for controlling time variant and nonlinear systems having model uncertainty. Alternative current motors contain unidentified and nonlinear system dynamics in their structures. Therefore, fuzzy logic controllers have been widely used in controlling of these motors. In this study, permanent magnet synchronous motor that is one of the alternative current motors has been controlled with fuzzy logic controllers. Input and output membership functions, rule based inference mechanisms and defuzzification processes have been realized in the designed controllers. Simulation results that are obtained under different load and speed operating conditions have been analyzed in the studies. Then performances of Mamdani, Larsen and Tsukamoto fuzzy inference methods have been compared. When the obtained results have been evaluated, It’s been seen that Larsen and Tsukamoto fuzzy inference methods have better performance.
From Page
185
NaturalLanguageKeyword
Fuzzy logic , Permanent magnet synchronous motor , Speed control
JournalTitle
Pamukkale University Journal Of Engineering Sciences
To Page
191
JournalTitle
Pamukkale University Journal Of Engineering Sciences
Link To Document