6533b852fe1ef96bd12aa315

RESEARCH PRODUCT

A Model Modulated Predictive Current Control Algorithm for the Synchronous Reluctance Motor

Angelo AccettaMaurizio CirrincioneMassimiliano LunaMarcello PucciAntonino Sferlazza

subject

Settore ING-INF/04 - AutomaticaSynchronous Reluctance Motor (SynRM) Model Predictive Control (MPC) Predictive Current Control (PCC)

description

This paper proposes a Model Modulated Predictive Control (M2PC) specifically developed for Synchronous Reluctance Motors (SynRM) drives and based on a purposely developed magnetic model taking into account both self- and cross-saturation. The proposed M2PC exploits the discrete-time version of the dynamic model to compute the current prediction and the resulting predicted current error. The built-in PWM modulator chooses the optimal pair of voltage space-vector to be applied by the inverter to minimize the current error. The magnetic model permits obtaining good dynamic performance in every working condition.

yearjournalcountryeditionlanguage
2022-11-30
10.1109/ecce50734.2022.9947741https://hdl.handle.net/10447/586930