DSP based fuzzy-neural speed tracking control of brushless DC motor

Authors:
Çetin Gençer;Ali Saygin;İsmail Coşkun
Affiliations:
Fırat University Faculty of Technical Education, Elaziğ;Gazi University Faculty of Technical Education, Teknikokullar, Ankara;Gazi University Faculty of Technical Education, Teknikokullar, Ankara
Venue:
TAINN'05 Proceedings of the 14th Turkish conference on Artificial Intelligence and Neural Networks
Year:
2005

Citing 3
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Abstract

In this paper, Fuzzy-Neural control architecture is applied in order to construct precise speed control of brushless DC motor (BLDC) in high performance applications. BLDC motors have been becoming popular owing to high torque density, large power to weight ratio, high efficiency, high power factor, and robustness. The proposed controller is successfully implemented in real time using a digital signal processor (DSP) board DS1104 for BLDC motor. The effectiveness of the proposed controller is verified by as well as experimental results of different dynamic operating conditions. The software of system is developed in dSPACE Control Desk.