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


    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 non-cascaded speed loop controller employing M2PC for permanent magnet synchronous motors (PMSMs) is introduced. The required simulation work has been developed to analyze the algorithm performance compared to PI, non-cascaded MPC, 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)1-10
    Number of pages10
    JournalIEEE Open Journal of the Industrial Electronics Society
    Publication statusPublished - 2024


    • Cost function
    • Electrical Drive Applications
    • Mathematical models
    • Modulated Model Predictive Speed Control
    • PMSM Machine
    • Predictive models
    • Stators
    • Topology
    • Vectors
    • Velocity control
    • Voltage Based Cost Function

    ASJC Scopus subject areas

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


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