Brett Schaus
Motor Temperature Virtual Sensing for a Small Scale Propulsion System.
Rel. Bartolomeo Montrucchio, Antonio Costantino Marceddu, Matteo Davide Lorenzo Dalla Vedova, Matteo Bertone, Alessandro Aimasso. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2025
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Abstract
Electric propulsion systems are increasingly adopted in aerospace applications such as drones, Unmanned Aerial Vehicles (UAVs), and emerging Urban Air Mobility (UAM). They offer advantages in efficiency, reduced emissions, and mechanical simplicity compared to combustion-based propulsion, but also introduce challenges. Among the most critical is thermal management: motors can overheat under high loads or prolonged operation, leading to reduced performance, reliability issues, and safety risks. Accurate monitoring and prediction of motor temperatures is therefore essential. In testing, fiber optic temperature sensors are often used because they provide high accuracy and immunity to electromagnetic interference. However, they are costly and fragile: bending their cables can distort wavelengths, making them unsuitable for widespread or long-term use.
If motor temperatures could instead be predicted from accessible electrical measurements such as currents and voltages, reliance on these delicate sensors could be reduced
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