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Deep Reinforcement Learning Based Current Control for Permanent Magnet Synchronous Motor Drives

This M.Tech Electrical Engineering topic focuses on Deep Reinforcement Learning Based Current Control for Permanent Magnet Synchronous Motor Drives. It belongs to the PMSM Drives area within Electrical Machines & Drives. The…

PMSM Drives
Abstract This M.Tech Electrical Engineering topic focuses on Deep Reinforcement Learning Based Current Control for Permanent Magnet Synchronous Motor Drives. It belongs to the PMSM Drives area within Electrical Machines & Drives. The work is suitable for research topic selection, synopsis preparation, literature review, machine-drive modelling, MATLAB/Simulink or Python-based analysis, controller design, fault-diagnosis experiments, sensorless estimation studies, result analysis, and dissertation documentation. Students can use this 2023-onward research reference as the base paper and then customize the implementation using suitable motor parameters, inverter model, control strategy, signal-processing method, machine-learning model, and performance metrics.
Reference Paper Deep Reinforcement Learning Based Current Control for Permanent Magnet Synchronous Motor Drives
Year 2025
Domain Electrical Machines & Drives
Sub-Domain PMSM Drives
PDF / Source Link Open Paper / PDF
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