Disturbance Rejection Based Current Control for Permanent Magnet Synchronous Motor Drives Using a Discrete‐Time Adaptive Controller With Periodic Estimation

ABSTRACT In this paper, a non‐linear adaptive direct current controller based on periodic estimation is proposed to significantly minimize the periodic torque ripples for the permanent‐magnet synchronous motor system in the discrete‐time setting. The discrete‐time adaptive controller is designed to track the desired motor currents of motor and provide periodic disturbance rejection by constructing the estimation algorithm based on the digital processing of unknown periodic signals in each consecutive motor period, which requires only knowledge of periodicity. The asymptotic stability of the closed‐loop system dynamics is proven through the convergence of current errors to zero as the period of the motor shaft approaches infinity. To test the robustness against periodic uncertainties and disturbances varying with the rotor displacement and to demonstrate the achievement of the desired steady‐state response for stator current quality, detailed simulation experiments are carried out with comparisons to the classical deadbeat controller.

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Publication Details

Journal
International Journal of Adaptive Control and Signal Processing
Published
2025-08-03
DOI
https://doi.org/10.1002/acs.4054
Citations
1
Primary Topic
Iterative Learning Control Systems
Type
article
Field-Weighted Citation Impact
1.21
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article

Disturbance Rejection Based Current Control for Permanent Magnet Synchronous Motor Drives Using a Discrete‐Time Adaptive Controller With Periodic Estimation

Fatih Adıgüzel, Ramazan Rüçhan KAYA
1 citations
International Journal of Adaptive Control and Signal Processing
Iterative Learning Control Systems
1.21
article

Disturbance Rejection Based Current Control for Permanent Magnet Synchronous Motor Drives Using a Discrete‐Time Adaptive Controller With Periodic Estimation

Fatih Adıgüzel, Ramazan Rüçhan KAYA
article en
1 citations

Abstract

ABSTRACT In this paper, a non‐linear adaptive direct current controller based on periodic estimation is proposed to significantly minimize the periodic torque ripples for the permanent‐magnet synchronous motor system in the discrete‐time setting. The discrete‐time adaptive controller is designed to track the desired motor currents of motor and provide periodic disturbance rejection by constructing the estimation algorithm based on the digital processing of unknown periodic signals in each consecutive motor period, which requires only knowledge of periodicity. The asymptotic stability of the closed‐loop system dynamics is proven through the convergence of current errors to zero as the period of the motor shaft approaches infinity. To test the robustness against periodic uncertainties and disturbances varying with the rotor displacement and to demonstrate the achievement of the desired steady‐state response for stator current quality, detailed simulation experiments are carried out with comparisons to the classical deadbeat controller.

International Journal of Adaptive Control and Signal ProcessingVol. 39(10)
Yıldız Technical University (TR)
Openalex Percentile: Top 18%
Iterative Learning Control Systems
1.21
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