Analytical Modeling of Parameter Imbalance in Permanent Magnet Synchronous Machines

TL;DR

This paper develops analytical models to understand and mitigate the effects of parameter imbalance in permanent magnet synchronous machines, verified through simulations, aiding in real-time detection and correction.

Contribution

It provides comprehensive analytical models for parameter imbalance effects and verifies them with simulations, enabling improved detection and mitigation strategies.

Findings

Models accurately predict imbalance effects

Verification confirms model reliability

Potential for real-time imbalance mitigation

Abstract

This paper presents a systematic and comprehensive analysis of the impact of parameter imbalance in permanent magnet synchronous machines. Analytical models that reveal the effects of imbalance are obtained for each parameter. Thereafter, the models are verified for accuracy by comparison with complex simulations that closely represent true machine behavior. Such models may be utilized for developing (general) algorithms for detection, learning and mitigation of the negative effects of parameter imbalance including current (and thus torque) pulsations during real-time operation.