DSP Based Fuzzy-Neural Speed Tracking Control of Brushless DC Motor

  • Çetin Gençer
  • Ali Saygin
  • İsmail Coşkun
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3949)


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.


Digital Signal Processor Fuzzy Neural Network Permanent Magnet Synchronous Motor Firing Strength BLDC Motor 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Çetin Gençer
    • 1
  • Ali Saygin
    • 2
  • İsmail Coşkun
    • 2
  1. 1.Fırat University Faculty of Technical EducationElaziğ
  2. 2.Gazi University Faculty of Technical EducationTeknikokullar, Ankara

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