Advanced Control Strategies for DC Motor Speed Regulation: A Comparative Study of Artificial Neural Networks and ANFIS
8th International Conference on Digital Technologies in Education, Science and Industry, DTESI 2023, Almaty, Kazakistan, 6 - 07 Aralık 2023, cilt.3680, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Cilt numarası: 3680
- Basıldığı Şehir: Almaty
- Basıldığı Ülke: Kazakistan
- Anahtar Kelimeler: Adaptive Neuro-Fuzzy Inference Systems, Artificial Neural Networks, comparative study, control strategies, DC motor, speed regulation
- Ankara Yıldırım Beyazıt Üniversitesi Adresli: Evet
Özet
This study compares Adaptive Neuro-Fuzzy Inference Systems (ANFIS) and Artificial Neural Networks (ANN) as DC motor speed control techniques using Simulink. Both controllers perform well, exhibiting minimal overshoot and similar rising times. ANFIS excels in stability and robustness, while ANN offers precision and efficiency through learning. These findings have implications for industries like robotics, aerospace, and automotive, emphasizing the importance of precise motor speed control. The article suggests future research directions, including hybrid control systems that combine ANFIS and ANN strengths for improved performance and the integration of advanced optimization algorithms to enhance controller performance. In summary, this research provides valuable insights for practitioners and researchers, aiding their choice of control techniques for DC motor applications, and encourages further exploration to advance motor control techniques.