Adaptive Voltage Feedback Controllers on Nonsalient Permanent Magnet Synchronous Machine

This article investigates the nonlinear behavior of the conventional voltage feedback flux-weakening control, i.e., the voltage magnitude feedback control on the nonsalient permanent magnet synchronous machine, and proposes an adaptive control parameter tuning method for the voltage feedback control...

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Bibliographic Details
Published in:IEEE transactions on industry applications 2020-03, Vol.56 (2), p.1529-1542
Main Authors: Wang, Chao, Zhu, Z. Q., Zhan, Hanlin
Format: Article
Language:English
Subjects:
Adaptive
Adaptive control
Control stability
Control systems design
conventional voltage feedback controller
current and voltage reference modifiers
Electric potential
Feedback control
Feedforward systems
Flux
flux weakening
Mathematical model
Modulation
overmodulation
Performance degradation
permanent magnet synchronous machine (PMSM)
Permanent magnets
Scaling factors
stability
Synchronous machines
Torque
Viability
Voltage
Voltage control
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Description
Summary:This article investigates the nonlinear behavior of the conventional voltage feedback flux-weakening control, i.e., the voltage magnitude feedback control on the nonsalient permanent magnet synchronous machine, and proposes an adaptive control parameter tuning method for the voltage feedback controller. Due to less voltage margin in the flux-weakening region, the current dynamic performance is degraded. This issue is more serious when the system operates in the overmodulation region and could affect the system's stability. Based on the designed voltage feedback controller, the system performance in the flux-weakening and overmodulation regions is further improved by utilizing the current and voltage reference modifiers. Consequently, the system can operate well in both linear and overmodulation regions with the specified scaling factor, which is beneficial to general-purpose applications. The viability of the proposed method is demonstrated by the experimental results.
ISSN:0093-9994
1939-9367
DOI:10.1109/TIA.2019.2957723