Model-Free Predictive Current Control of PMSM Drives Based on Extended State Observer Using Ultralocal Model

Conventional model predictive current control (MPCC) is a powerful control strategy for three-phase inverters that has the advantages of simple concept, quick response, easy implementation, and good performance. However, MPCC is sensitive to machine parameter variation, and the performance degrades...

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Veröffentlicht in:IEEE transactions on industrial electronics (1982) Jg. 68; H. 2; S. 993 - 1003
Hauptverfasser: Zhang, Yongchang, Jin, Jialin, Huang, Lanlan
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.02.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Computational modeling
Computing time
Current control
extended state observer (ESO)
Mathematical model
Mathematical models
Observers
Parameter sensitivity
Performance degradation
Permanent magnet motors
Predictive control
Predictive models
Robust control
robustness
State observers
Stators
Tracking errors
Tuning
ultralocal model
ISSN:0278-0046, 1557-9948
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Zusammenfassung:Conventional model predictive current control (MPCC) is a powerful control strategy for three-phase inverters that has the advantages of simple concept, quick response, easy implementation, and good performance. However, MPCC is sensitive to machine parameter variation, and the performance degrades substantially if a mismatch exists between the model parameters and real machine parameters. Model-free predictive current control (MFPCC) based on an ultralocal model, which uses only the input and output of the system without considering any motor parameters, has been proposed to solve this problem in this article. Since parameters are not required, the robustness of the control system is improved. However, conventional MFPCC based on an ultralocal model uses many control parameters, which increases the tuning work. Furthermore, the control performance is not ideal at low sampling frequency. This article proposes an improved MFPCC based on the extended state observer of PMSM drives that does not require motor parameters and needs less tuning work and lower computational time while achieving the better performance in terms of current harmonics, tracking error, and dynamic overshoot. The proposed method is compared to conventional MPCC and MFPCC, and the effectiveness is confirmed by the simulation and experimental results.
Bibliographie:ObjectType-Article-1
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ISSN:0278-0046
1557-9948
DOI:10.1109/TIE.2020.2970660