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Dergiler / Mathematical and Computational Applications / 2010 / Cilt: 15 - Sayı: 2

Realization of fuzzy logic controlled brushless DC motor drives using matlab/simulink

MEHMET ÇUNKAŞ
ÖMER AYDOĞDU
Sayfa
218–229
DOI
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Also, the dynamic characteristics of the BLDC motor (i.e. speed and torque) and as well as currents and voltages of the inverter components are easily observed and analyzed by using the developed model

📌 3 Maddede Bu Makale

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Amaç & Hipotez:In this paper, an efficient simulation model for fuzzy logic controlled brushless direct current motor drives using Matlab/Simulink is presented.
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Temel Bulgular & Veri:The brushless direct current (BLDC) motor is efficiently controlled by Fuzzy logic controller (FLC).
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Sonuç & Katkı:Also, the dynamic characteristics of the BLDC motor (i.e. speed and torque) and as well as currents and voltages of the inverter components are easily observed and analyzed by using the developed model
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

Abstract

In this paper, an efficient simulation model for fuzzy logic controlled brushless direct current motor drives using Matlab/Simulink is presented. The brushless direct current (BLDC) motor is efficiently controlled by Fuzzy logic controller (FLC). The control algorithms, fuzzy logic and PID are compared. Also, the dynamic characteristics of the BLDC motor (i.e. speed and torque) and as well as currents and voltages of the inverter components are easily observed and analyzed by using the developed model

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Bu Makaleye Atıf Yap

ÇUNKAŞ, M., AYDOĞDU, Ö. (2010). Realization of fuzzy logic controlled brushless DC motor drives using matlab/simulink. Mathematical and Computational Applications, Cilt: 15 - Sayı: 2, 218–229. https://ajindex.com/articles/280027

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Kaynakça (3)

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  3. C.T. Lin, and C.W. Liu, An Efficient Simulation Technique for the Variable Sampling Effect of BLDC Motor Applications, IECON 2007, pp. 1175– 1179, 2007. 11. CK. Lee and WH. Pang, A Brushless DC Motor Speed Control System Using Fuzzy Rules, IEE Power Electronics and Variable Speed Drives, pp.101-106, 1994. 12. R.N. Tuncay, Z. Erenay, M. Yılmaz, and Ö. Üstün, Rapid Control Prototyping Approach to Fuzzy Speed Control of Brushless DC Motor, ELECO’03, International Conference on Electrical and Electronics Engineering, Bursa, Turkey, 2003. 13. C. Xia, P. Guo, T. Shi, and M. Wang, Speed control of brushless dc motor using genetic algorithm based fuzzy controller, Proc. of Int. Conf. on Intelligent Mechatronics and Automation, pp.460-464, 2006. 14. A. Rubai, A. Ofoli, and M. Castro, dSPACE DSP-Based Rapid Prototyping of Fuzzy PID Controls for High Performance Brushless Servo Drives,