Parameter-Free Predictive Torque and Flux Control for PMSM Based on Incremental Stator Flux Predictive Model

Xuan Wu, Meizhou Yang*, Ting Wu, Kaiyuan Lu, Yizhe Wang, Xicai Liu, Shoudao Huang, Hesong Cui

*Kontaktforfatter

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

7 Citationer (Scopus)

Abstract

Model predictive torque control for permanent magnet synchronous motors is sensitive to parameters and requires weighting factors. Model-free parallel predictive torque control (MF-PPTC) is one of the latest solutions. However, it suffers from a heavy computational burden and hardly achieves the optimization of both torque and flux. In this article, a parameter-free predictive torque and flux control (PF-PTFC) is proposed to improve parameter robustness and eliminate weighting factors. First, a parameter-free incremental stator flux predictive model (ISFPM) is defined by eliminating parameter terms found in conventional predictive models. Based on ISFPM, a new cost function without weighting factors is constructed to automatically compensate for the impact of missing parameter items. Compared with the MF-PPTC, the proposed strategy has a lower computational burden and better steady-state performance. Moreover, the PF-PTFC is combined with an active-disturbance-rejection-based discrete-time integral sliding-mode speed controller to improve speed regulation. The experiments confirm the proposed method's superiority.

OriginalsprogEngelsk
TidsskriftIEEE Transactions on Industrial Informatics
Vol/bind20
Udgave nummer2
Sider (fra-til)2715-2726
Antal sider12
ISSN1551-3203
DOI
StatusUdgivet - 1 feb. 2024

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© 2005-2012 IEEE.

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