Abstract

For nonsinusoidal electromotive force (NS-EMF) multiphase machines, this article proposes a new strategy and control scheme to guarantee smooth torque under an open-phase fault. Notably, the conventional proportional–integral controllers implemented for vector control in healthy mode can be used in the faulty mode. The strategy is based on reduced-order transformations while the control scheme applies a simple artificial intelligence algorithm using a specific online-trained adaptive linear neuron (ADALINE). Indeed, the inputs of ADALINE require the knowledge of rotor position and NS-EMF harmonic rank to optimize the learning time. The proposed strategy and control scheme are tested on a seven-phase machine with a strong total harmonic distortion (THD) of NS-EMFs, containing numerous harmonics H <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">k</i> (THD = 38% with 100% H1, 32.3% H3, 9.4% H7, 12.5% H9, 10.3% H11). Numerical and experimental results are presented in this article. This article is accompanied by a video demonstrating the experimental results.

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