Abstract
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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CITATION STYLE
Zhu, Y., Yao, M., & Sun, X. (2023, August 1). A Review on Predictive Control Technology for Switched Reluctance Motor System. World Electric Vehicle Journal. Multidisciplinary Digital Publishing Institute (MDPI). https://doi.org/10.3390/wevj14080221
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