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Sensorless Model Predictive Control of Permanent Magnet Synchronous Motors Using an Unscented Kalman Filter

This M.Tech Electrical Engineering topic focuses on Sensorless Model Predictive Control of Permanent Magnet Synchronous Motors Using an Unscented Kalman Filter. It belongs to the Sensorless Motor Control area within Electrical Machines…

Abstract This M.Tech Electrical Engineering topic focuses on Sensorless Model Predictive Control of Permanent Magnet Synchronous Motors Using an Unscented Kalman Filter. It belongs to the Sensorless Motor Control 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 Sensorless Model Predictive Control of Permanent Magnet Synchronous Motors Using an Unscented Kalman Filter
Year 2024
Domain Electrical Machines & Drives
Sub-Domain Sensorless Motor Control
PDF / Source Link Open Paper / PDF
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