Adaptive deep reinforcement learning-based control strategy for high-performance permanent magnet synchronous motor drive systems

• Datum: 2026
• Hauptverfasser: Dukkipati, S., Nagendra, S. S., Kumar, B. H., Parimalasundar, E.
• Format: Artikel
• Sprache: Englisch
• Veröffentlicht: National Technical University "Kharkiv Polytechnic Institute" and Аnatolii Pidhornyi Institute of Power Machines and Systems of NAS of Ukraine 2026
• Schlagworte: deep reinforcement learning; permanent magnet synchronous motor; deep deterministic policy gradient; twin delayed deep deterministic policy gradient; adaptive motor control; actor-critic algorithm
• Online Zugang: https://eie.khpi.edu.ua/article/view/358720
• Назва журналу: Electrical Engineering & Electromechanics

Introduction. In recent days, electric vehicles, robotics and in many control system applications, permanent magnet synchronous motors (PMSMs) are widely utilized. Problem. Due to non-linear behavior of system, external interferences and frequent changes in parameters, conventional control technique...