Modulated Model Predictive Control Strategies for Low-Inductance High-Speed PMSM Drives:A Comparative Analysis: A Comparative Analysis

Ahmed Aboelhassan, Shuo Wang, Xiaoyan Huang, Giampaolo Buticchi, Liang Yan, Ahmed M. Diab

Research output: Journal PublicationArticlepeer-review

Abstract

Model predictive control (MPC) is one of the advanced control strategies implemented for different applications to provide better performance and faster dynamic response. Modulated model predictive control (M2PC) is one of the recent MPC structures. It is developed based on the fixed switching frequency modulator and duty cycles concept, resulting in improved performance indicators under different operating conditions. In addition, one of the given PWM topologies that gained much attention due to higher switching frequency operation with similar power losses is discontinuous pulse width modulation (DPWM). Therefore, different M2PC methods including deadbeat control (DBC-M2PC) and cost function ratio (CFR-M2PC) have been implemented for low-inductance high-speed permanent magnet synchronous motor (PMSM) drives employing DPWM. The DBC-M2PC strategy shows a superior performance over the CFR-M2PC approach. Simulation analysis along with practical investigation through a dedicated high-speed testing rig are illustrated for both methods.

Original languageEnglish
Article number4926
JournalEnergies
Volume18
Issue number18
DOIs
Publication statusPublished - Sept 2025

Keywords

  • discontinuous PWM (DPWM)
  • high-speed electric drives
  • low-inductance permanent magnet synchronous machines
  • modulated model predictive control (MPC)

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Fuel Technology
  • Engineering (miscellaneous)
  • Energy Engineering and Power Technology
  • Energy (miscellaneous)
  • Control and Optimization
  • Electrical and Electronic Engineering

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