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...

Deskribapen osoa

Xehetasun bibliografikoak

Egile Nagusiak:	S. Dukkipati, S. S. Nagendra, B. H. Kumar, E. Parimalasundar
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	National Technical University "Kharkiv Polytechnic Institute" 2026-05-01
Saila:	Electrical engineering & Electromechanics
Gaiak:	deep reinforcement learning permanent magnet synchronous motor deep deterministic policy gradient twin delayed deep deterministic policy gradient adaptive motor control actor-critic algorithm
Sarrera elektronikoa:	https://eie.khpi.edu.ua/article/view/358720/344455
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!