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

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...

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Hlavní autoři:	S. Dukkipati, S. S. Nagendra, B. H. Kumar, E. Parimalasundar
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	National Technical University "Kharkiv Polytechnic Institute" 2026-05-01
Edice:	Electrical engineering & Electromechanics
Témata:	deep reinforcement learning permanent magnet synchronous motor deep deterministic policy gradient twin delayed deep deterministic policy gradient adaptive motor control actor-critic algorithm
On-line přístup:	https://eie.khpi.edu.ua/article/view/358720/344455
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