Modulated Model Predictive Speed Controller for PMSM Drives Employing Voltage-Based Cost Function

Ahmed Aboelhassan, Shuo Wang, Giampaolo Buticchi, Vasyl Varvolik, Michael Galea, Serhiy Bozhko

Research output: Journal PublicationArticlepeer-review

Abstract

Various electrical drive systems have widely implemented the classical cascaded field-oriented control (FOC) topology, including speed loop, current loop, and modulation. On the other hand, modulated model predictive control (M2PC) has been employed recently for different applications for faster dynamic response and better power quality. The FOC topology's speed and current control loops can be merged to simplify the control system structure and improve the system dynamics. Therefore, a noncascaded speed loop controller employing M2PC for permanent magnet synchronous motors is introduced. The required simulation work has been developed to analyze the algorithm performance compared to proportional integral (PI), noncascaded model predictive control, and M2PC controllers. In addition, it has been applied practically through a dedicated testing rig, and results are investigated showing its merits including harmonic content, dynamic behavior, and robustness against parameter mismatch.

Original languageEnglish
Pages (from-to)122-131
Number of pages10
JournalIEEE Open Journal of the Industrial Electronics Society
Volume5
DOIs
Publication statusPublished - 2024

Keywords

  • Modulated model predictive speed control (MPSC)
  • electrical drive applications
  • permanent magnet synchronous motor (PMSM) machine
  • voltage-based cost function

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Modulated Model Predictive Speed Controller for PMSM Drives Employing Voltage-Based Cost Function'. Together they form a unique fingerprint.

Cite this