Journals / Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi / 2017 / Cilt: 23 - Sayı: 5

Real-time speed controlling of a DC motor using fuzzy logic controller

DC motorun bulanık mantık denetleyici kullanarak gerçek zamanda hız denetimi

Pages
543–549
Publication Date
2017-10-20
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The real-time fuzzy control provided good speed tracking performance in load conditions.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The current study analyzed real-time speed control of a DC motor under various loads by using a Fuzzy Logic Controller (FLC).
📊
Key Findings & Data:NI USB-6218 DAQ was preferred as the data card for the system measuring the speed of the motor by a tachometer.
💡
Conclusion & Impact:The real-time fuzzy control provided good speed tracking performance in load conditions.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:DC motor · Bulanık mantık · Gerçek zamanlı sistem

Abstract

The current study analyzed real-time speed control of a DC motor under various loads by using a Fuzzy Logic Controller (FLC). NI USB-6218 DAQ was preferred as the data card for the system measuring the speed of the motor by a tachometer. Fuzzy logic control was employed by means of MATLAB®. The speed was controlled to remain constant by operating the DC motor under various loads as no-loaded, half loaded, and full loaded. Simulation results are compared with the results of real-time control. The real-time fuzzy control provided good speed tracking performance in load conditions.

Özet

Bu çalışmada, DC motorun gerçek zamanda farklı yükler altında hız kontrolü gerçekleştirilmiştir. Burada kontrolör olarak Bulanık Mantık Denetleyici kullanılmıştır. Motor hız bilgisi takometre ile ölçülen sistemde veri toplama kartı olarak NI USB-6218 DAQ kullanılmıştır. Bulanık Mantık Denetim MATLAB® ortamında gerçekleştirilmiştir. DC motor yüksüz, yarım yük ve tam yük olmak üzere farklı yükler altında çalıştırılarak, hızın istenen değerde sabit kaldığı gözlemlenmiştir. Benzetim sonuçları, gerçek zamanda denetim sonuçları ile karşılaştırılmıştır. Gerçek zamanda bulanık denetim yük durumlarında daha iyi performans sağlamıştır.

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Cite This Article

KANDİLLİ, İ. (2017). Real-time speed controlling of a DC motor using fuzzy logic controller. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, Cilt: 23 - Sayı: 5, 543–549. https://ajindex.com/articles/42491

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References (14)

  1. Liu ZZ, Luo FL, Rashid MH. “Speed nonlinear control of dc motor drive with field weakening”. IEEE Transactions Industry Application, 39(2), 417-423, 2003.
  2. Drainkov D, Hellendoorn H, Reinfrank M. An Introduction to Fuzzy Control. Berlin Heidelberg, New York, USA, Springer-Verlag, 1993.
  3. Tipsuwan Y, Mo-Yuen C. “Fuzzy logic microcontroller implementation for DC motor speed control”. IEEE the 25th Annual Conference IECON '99, California, USA, 29 November-3 December 1999.
  4. Malhotra R, Kaur T, Deol GS. “DC motor control using fuzzy logic controller”. International Journal of Advanced Engineering Sciences and Technologies, 8, 291-296, 2011.
  5. Thepsatom P, Numsomran A, Tipsuwanporn V, Teanthong T. “DC motor speed control using fuzzy logic based on labview”. IEEE International Joint Conference SICE-ICASE, Busan, South Korea, 18-21 October 2006.
  6. Pavankumar SVSR, Krishnaveni S, Venugopal YB, Babu YSK. “A neuro-fuzzy based speed control of separately excited DC motor”. International Conference on Computational Intelligence and Communication Networks, Bhopal, India, 26-28 November 2010.
  7. Jang JO. “A deadzone compensator of a dc motor system using fuzzy logic control”. IEEE Transactions on Systems, Man and Cybernetics-Part C: Applications and Reviews, 31(1), 42-48, 2001.
  8. Shi A, Yan M, Li J, Xu W, Shi Y. “The research of fuzzy PID control application in DC motor of automatic doors”. IEEE International Conference on Electrical and Control Engineering, Yichang, China, 16-18 September 2011.
  9. Alyaqout SF, Papalambros PY, Ulsoy AG. “Combined robust design and robust control of an electric DC motor”. IEEE/ASME Transactions on Mechatronics, 16(3), 574-582, 2011.
  10. Shi Y, Huang J, Yu B. “Robust tracking control of networked control systems: Application to a networked DC motor”. IEEE Transactions on Industrial Electronics, 60(12), 5864-5874, 2013.
  11. Li Z, Chen J, Zhang G, Gan MG. “Adaptive robust control for dc motors with ınput saturation”. IET Control Theory & Applications, 5(16), 1895-1905, 2011.
  12. Kim SH, Ishiyama K. “Hybrid speed control of a DC motor for magnetic wireless manipulation based on low power consumption: Application to a magnetic wireless blood pump”. IEEE Transactions on Magnetics, 50(4), 1-7, 2014.
  13. Yao J, Jiao Z, Ma D. “Adaptive robust control of DC motors with extended state observer”. IEEE Transactions on Industrial Electronics, 61(7), 3630-3637, 2014.
  14. Castaneda CE, Loukianov AG, Sanchez EN, Toledo BC. “Discrete-Time neural sliding-mode block control for a DC motor with