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

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

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,...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Gençer, Çetin, Saygin, Ali, Coşkun, İsmail
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Applied sciences
Artificial intelligence
BLDC Motor
Computer science
control theory
systems
Digital Signal Processor
Exact sciences and technology
Firing Strength
Fuzzy Neural Network
Permanent Magnet Synchronous Motor
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Beschreibung
Zusammenfassung: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.
ISSN:0302-9743
1611-3349
DOI:10.1007/11803089_13