Beşir DANDIL, Muammer GÖKBULUT, Fikret ATA

Doğrusal olmayan yük şartlarındaki asenkron motorun YSA-PI hız denetimi

Bu çalışmada, vektör denetimli asenkron motor sürücülerinin Yapay Sinir Ağları (YSA) ile parametreleri ayarlanan PI denetleyici ile hız denetimi incelenmiştir. Önerilen YSA-PI denetim yapısı ile doğrusal olmayan yük ve parametre değişimlerine karşı denetim sisteminin dayanıklılığının ve performansının artırılması amaçlanmıştır. YSA' nın öğrenme ve genelleme yeteneklerinden yararlanarak PI denetleyicinin tasarım zorluğu giderilmiş ve çeşitli doğrusal olmayan yük şartları altında PI parametrelerinin otomatik olarak ayarlanabilirliği sağlanmıştır. YSA-PI denetleyicinin, çeşitli doğrusal olmayan yük şartlarındaki asenkron motorun hız denetim performansını gösteren benzetim sonuçları verilmiştir.

Neuro-PI speed control of induction motors under the nonlinear loads

In this study, PI-type speed controller tuned using neural networks is proposed for the vector controlled induction motor drives. The aim of the proposed control scheme is to improve the performance and robustness of the system under nonlinear loads and parameter variations. Design, complexity of PI controller is eliminated and automatic tuning of the PI controller parameters for the various nonlinear motor loads is provided by utilizing the learning and generalization capabilities of the neural networks. Simulation results showing the control performance of the neuro-PI controller are given for the speed control of induction motors under the different nonlinear loads.

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