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

• Дата: 2026
• Автори: Dukkipati, S., Nagendra, S. S., Kumar, B. H., Parimalasundar, E.
• Формат: Стаття
• Мова: Англійська
• Опубліковано: National Technical University "Kharkiv Polytechnic Institute" and Аnatolii Pidhornyi Institute of Power Machines and Systems of NAS of Ukraine 2026
• Теми: deep reinforcement learning; permanent magnet synchronous motor; deep deterministic policy gradient; twin delayed deep deterministic policy gradient; adaptive motor control; actor-critic algorithm
• Онлайн доступ: 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...