Design of electric machines with manufacturing uncertainties

Cross-section of one pole of a permanent magnet motor.

The manufacturing process of electric machines (EMs) can lead to deviations between expected and observed performance. One cause of these deviations is the inherent input space uncertainty of the EM model employed during the design stage. Understanding how this uncertainty affects the performance of EMs is imperative to develop robust design techniques. To investigate these effects, in this work, a permanent magnet synchronous machine (PMSM) is selected as the central case study. The objective of this project is to set forth a computationally efficient methodology to quantitatively characterize the effects and relevance of the input space uncertainty on multiple quantities of interest of a PMSM.

Uncertainty propagation (left) and sensitivity analysis (right) of the average torque (top) and the torque ripple (bottom).

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Andres Beltran
Ph.D. Student

Andres received the Electronics Engineering degree and the M.Sc. degree in Industrial Automation from the Universidad Nacional de Colombia and is currently a Ph.D. student at Purdue University.

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