Online Magnetization Surface Identification for a Switched Reluctance Motor

Anuchin, Alecksey; Bogdanov, Andrei; Demidova, Galina L.; Stolyarov, Evgeniy; Surnin, Dimid; Vagapov, Yuriy

doi:10.1109/upec49904.2020.9209832

Cited by 3 publications

(1 citation statement)

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“…Additionally, the magnetization surface changes with variations in rotor and stator temperatures. In [95], a recognition method is proposed to run parallel with a model predictive current control system that utilizes a magnetization diagram. The discrepancy between the reference current and the actual current is utilized to adjust the reference points on the two-dimensional grid that depicts the magnetization surface.…”

Section: Predictive Modelmentioning

confidence: 99%

A Review on Predictive Control Technology for Switched Reluctance Motor System

Zhu

Yao

Sun

2023

WEVJ

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The significance of employing control strategies on a switched reluctance motor (SRM) is that they can reduce vibration noise and torque ripple. With the rapid development of digital system processors, predictive control (PC), as a modern control approach, is increasingly applied to enhance the dynamic performance and operational efficiency of SRMs. This review provides a comprehensive overview of the current state of research on PC strategies of SRMs and classifies PC technologies, such as generalized predictive control (GPC), hysteresis predictive control (HPC), deadbeat predictive control (DPC), and model predictive control (MPC). It summarizes the PC schemes from the aspects of predictive current control (PCC), predictive torque control (PTC), and other PC, and it discusses the current trends in technology development, as well as potential research directions. The insights presented herein aim to facilitate further investigations into predictive control techniques for SRM.

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Section: Predictive Modelmentioning

confidence: 99%