Model-Free Current Predictive Control for PMSMs With Ultralocal Model Employing Fixed-Time Observer and Extremum-Seeking Method

Lin, Xinpo; Liu, Jianxing; Liu, Zhuang; Gao, Yabin; Peretti, Luca; Wu, Ligang

doi:10.1109/tpel.2025.3553685

articleIEEE Transactions on Power ElectronicsMar 21, 2025GREEN OA

Model-Free Current Predictive Control for PMSMs With Ultralocal Model Employing Fixed-Time Observer and Extremum-Seeking Method

XLXinpo Lin JLJianxing Liu ZLZhuang Liu YGYabin Gao LPLuca Peretti

Harbin Institute of Technology · KTH Royal Institute of Technology

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Abstract

Conventional model predictive current control of permanent magnet synchronous machines (PMSMs) relies heavily on a precise mathematical model, which may be challenging to obtain in certain cases. To address this issue, this article proposes a model-free predictive current controller for PMSMs. Specifically, the dynamic model of the motor currents is represented using two ultralocal models, which express the derivatives of a controlled output as the sum of an amplified control input and an unknown offset term. All system parameters, nonlinear terms, and unmodeled dynamics are encapsulated into two offset terms. Online estimation of these two offset terms is performed using a second-order fixed-time convergence…

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50

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FWCI: 49.31
Percentile: 100%
References: 33

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Topics

Keywords

Control theory (sociology)
Observer (physics)
Model predictive control
Current (fluid)
Control (management)
Computer science
Control engineering
Engineering

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