Machine Learning Based H2 Norm Minimization for Maglev Vibration Isolation Platform
Intelligent Systems Conference, IntelliSys 2021, Virtual, Online, 2 - 03 Eylül 2021, cilt.294, ss.100-114, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Cilt numarası: 294
- Doi Numarası: 10.1007/978-3-030-82193-7_7
- Basıldığı Şehir: Virtual, Online
- Sayfa Sayıları: ss.100-114
- Anahtar Kelimeler: 4-pole hybrid electromagnet, Linear matrix inequalities, Magnetic levitation, Vibration control
- İstanbul Ticaret Üniversitesi Adresli: Hayır
Özet
Recent advancements in computational power technology and wide-usage of high qualified electronic hardware allow many engineers to create their control strategies in data-driven and model-free approaches, such as reinforcement-learning, genetic algorithm and other machine learning topics, rather than classical and modern control approaches. In this study, Q-Learning RL algorithm combined with analytic LMI method has been utilized to solve micro-scale vibration isolation problem as energy efficient as possible.