Alessandro Michelerio
Comparative Analysis of e-Motor Torque Control Techniques Under Parameter Uncertainties and Measurement Errors.
Rel. Gianmario Pellegrino, Paolo Pescetto, Michael Saur. Politecnico di Torino, Master of science program in Electrical Engineering, 2026
Abstract
This thesis evaluates the robustness of different torque control strategies to parameter uncertainties for an electric traction motor. Parameter errors and/or errors in observed/measured quantities are considered. The main goal is to determine which torque control method shows the best robustness towards the most common mismatches in real-world applications between motor and controller/observer. More in detail, the present work first assesses the main requirements for an automotive motor torque controller, alongside a comprehensive state-of-the-art study of the main control techniques used at the time of writing. Following the presentation of the main findings that justify the focus on a subset of control techniques, an in-depth analysis is carried out for all feasible operating points in the torque–speed plane.
The outcomes of the thesis offer guidance for designing a robust control strategy for electric vehicle traction motors, one that can fully meet the specified requirements while ensuring stability and high performance, even under derated operating conditions due to parameter errors.
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