Sensorless Deadbeat Control Strategy With Adaptive Capability for PMSM Drive Machines

This research work designs an adaptive sensorless deadbeat control (AS-DBC) method for permanent magnet synchronous motors (PMSMs). The proposed AS-DBC effectively merges the merits of deadbeat control (DBC) for ensuring fast dynamic response while incorporating the outstanding features of adaptive control to enforce satisfactory control performance of PMSM drive systems such as insensitive to system perturbation, system mismatches, and parameter alterations, etc. Hence, merging these two methods elevates the robustness and enhances steady-state and dynamic responses. As the DBC contributes to improved dynamic response, the adaptive compensating items satisfy the practicality of the system to tolerate nonlinear behavior inherent in PMSM drives. The adaptive control terms are dynamically updated online to effectively supress system uncertainties under severe conditions; for instance, low-speed region. The proposed AS-DBC method is then validated leveraging the PSIM simulation tool and experimentally tested using a PMSM drive setup, exhibiting superior performance in terms of precisely tracking capability covering low-, medium-, and high-speeds, and reduced estimated speed ripples compared to classical control methods.

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Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3561731
Citations
2
Primary Topic
Sensorless Control of Electric Motors
Type
article
Field-Weighted Citation Impact
1.46
Controls
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article

Sensorless Deadbeat Control Strategy With Adaptive Capability for PMSM Drive Machines

Sadeq Ali Qasem Mohammed, Mohammad AlMuhaini, Kyo‐Beum Lee
2 citations
IEEE Access
Sensorless Control of Electric Motors
1.46
article

Sensorless Deadbeat Control Strategy With Adaptive Capability for PMSM Drive Machines

Sadeq Ali Qasem Mohammed, Mohammad AlMuhaini, Kyo‐Beum Lee
article en
2 citations

Abstract

This research work designs an adaptive sensorless deadbeat control (AS-DBC) method for permanent magnet synchronous motors (PMSMs). The proposed AS-DBC effectively merges the merits of deadbeat control (DBC) for ensuring fast dynamic response while incorporating the outstanding features of adaptive control to enforce satisfactory control performance of PMSM drive systems such as insensitive to system perturbation, system mismatches, and parameter alterations, etc. Hence, merging these two methods elevates the robustness and enhances steady-state and dynamic responses. As the DBC contributes to improved dynamic response, the adaptive compensating items satisfy the practicality of the system to tolerate nonlinear behavior inherent in PMSM drives. The adaptive control terms are dynamically updated online to effectively supress system uncertainties under severe conditions; for instance, low-speed region. The proposed AS-DBC method is then validated leveraging the PSIM simulation tool and experimentally tested using a PMSM drive setup, exhibiting superior performance in terms of precisely tracking capability covering low-, medium-, and high-speeds, and reduced estimated speed ripples compared to classical control methods.

IEEE AccessVol. 13
King Fahd University of Petroleum and Minerals (SA), Ajou University (KR)
Affordable and clean energy
Openalex Percentile: Top 18%
Sensorless Control of Electric Motors
1.46
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