FPGA Implementation of a Novel Oversampling Deadbeat Controller for PMSM Drives

This paper presents a novel oversampling deadbeat current control approach for permanent magnet synchronous motor drives capable of operating at a controller sampling frequency multiple of the power converter switching frequency. Model-based controllers suffer from heavy computational demand and per...

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Veröffentlicht in:IEEE transactions on industrial electronics (1982) Jg. 66; H. 5; S. 3731 - 3741
Hauptverfasser: Rovere, Luca, Formentini, Andrea, Zanchetta, Pericle
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.05.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Computer simulation
Control systems
Deadbeat control
Disturbance observers
Electronics
Field programmable gate arrays
Frequency control
Mathematical model
model-predictive control
Oversampling
Parameter robustness
Parameter uncertainty
Performance degradation
permanent magnet synchronous motors
Permanent magnets
Power converters
Programmable controllers
Stator windings
Switching
Synchronous motors
Voltage control
ISSN:0278-0046, 1557-9948
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Zusammenfassung:This paper presents a novel oversampling deadbeat current control approach for permanent magnet synchronous motor drives capable of operating at a controller sampling frequency multiple of the power converter switching frequency. Model-based controllers suffer from heavy computational demand and performance degradation due to parameter uncertainties. The proposed controller concurrently with field-programmable gate array implementation permits to achieve a constant switching frequency and an optimal current ripple along with a high current-loop bandwidth and robust behavior to parameter variation. A disturbance observer has been added to the proposed controller in order to compensate for the converter voltage distortions. The proposed control strategy is tested through both simulations and experiments.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0278-0046
1557-9948
DOI:10.1109/TIE.2018.2851994