Fractional Order Sliding Mode Controller Based on Supervised Machine Learning Techniques for Speed Control of PMSM

• Main Authors: Zahraoui Y., Zaihidee F.M., Kermadi M., Mekhilef S., Mubin M., Tang J.R., Zaihidee E.M.
• Other Authors: 57223913703
• Format: Article
• Published: MDPI 2024
• Subjects: disturbance estimation; machine learning; motor control; permanent magnet synchronous motors; sliding mode control
• Institution: Universiti Tenaga Nasional

Tracking the speed and current in permanent magnet synchronous motors (PMSMs) for industrial applications is challenging due to various external and internal disturbances such as parameter variations, unmodelled dynamics, and external load disturbances. Inaccurate tracking of speed and current resul...