Current Control of Induction Machines in the Field-Weakened Region

2006 ◽  
Author(s):  
Gabriel Gallegos-Lopez ◽  
Fani S. Gunawan ◽  
James E. Walters
Keyword(s):  
Induction Machines ◽  
Current Control

Adaptive high bandwidth current control for induction machines

2003 ◽  
Vol 18 (2) ◽  
pp. 527-538 ◽  
Author(s):  
D. Telford ◽  
M.W. Dunnigan ◽  
B.W. Williams
Keyword(s):  
Induction Machines ◽  
Current Control ◽  
High Bandwidth

scholarly journals A Computationally Efficient Model Predictive Control of Six-Phase Induction Machines Based on Deadbeat Control

Machines ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 306
Author(s):  
João Serra ◽  
Imed Jlassi ◽  
Antonio J. Marques Cardoso
Keyword(s):  
Induction Machine ◽  
Induction Machines ◽  
Current Control ◽  
Deadbeat Control ◽  
Computationally Efficient ◽  
Electric Drives ◽  
Machine Drive ◽  
Voltage Vector ◽  
Multi Phase

Model predictive current control (MPCC) has recently become a viable alternative for multiphase electric drives, because it easily exploits the inherent advantages of multi-phase machines. However, the prediction in MPCC requires a high number of voltage vectors (VVs), being therefore computationally demanding. In that regard, this paper proposes a computationally efficient MPCC of an asymmetrical six-phase induction machine drive (ASIMD) that reduces the number of VVs used for prediction. By using the characteristics of the deadbeat control (DB), the proposed method obtains a reference voltage vector (RVV), where its position will serve as a reference and integrates the MPCC scheme. Only 4 out of 13 predictions are needed to determine the best VV, dramatically reducing the algorithm computation. Experimental results for a six-phase case study compare the standard MPCC with the suggested method, confirming that deadbeat model predictive current control (DB-MPCC) shows that the execution time can be shortened by 48.8% and successfully improve the motor performance and efficiency.

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