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.

scholarly journals Simulation of a Matrix Converter Fed Drive With Sliding Mode Control

10.14311/1620 ◽  
2012 ◽  
Vol 52 (5) ◽  
Author(s):  
Jan Bauer
Keyword(s):  
Sliding Mode Control ◽  
Control Algorithm ◽  
Power Converters ◽  
Sliding Mode ◽  
Induction Machine ◽  
Induction Machines ◽  
Matrix Converter ◽  
Control Methods ◽  
Electric Drives ◽  
Converter Topologies

Induction machines are among the most widely used electrical-to-mechanical converters in electric drives. Their advantageous robustness and simplicity goes hand-in-hand with complicated control. A converter with a suitable control algorithm is needed in order to withdraw maximum power and dynamics from the drive. In recent times, control methods such as those based on DTC and sliding mode methods have come to the forefront, due to their robustness and relative simplicity.In the field of power converters, new converter topologies are emerging with improved efficiency that pushes the operation limits of the drive. This paper focuses on the development of a control of this kind of strategy for an induction machine fed from a matrix converter.

scholarly journals A Novel Structure for Vector Control of Symmetrical Six-Phase Induction Machines with Three Current Sensors

2011 ◽  
Vol 1 (2) ◽  
pp. 23-29
Author(s):  
H. P. Nabi ◽  
P. Dadashi ◽  
A. Shoulaie
Keyword(s):  
Vector Control ◽  
Dynamic Performance ◽  
Induction Machine ◽  
Induction Machines ◽  
Experimental Results ◽  
Machine Drive ◽  
Novel Structure ◽  
Current Sensors ◽  
Machine Drives ◽  
Multiphase Machine

Vector control is one of the most popular multiphase induction machine drive methods due to its dynamic performance. Since all phase currents are needed in vector control drive, by increasing phase numbers, the number of required current sensors increases which is one of the disadvantages of vector control in multiphase machine drives. In this paper vector control of a symmetrical six-phase induction machine with a novel configuration is presented. The aforementioned configuration is designed in a simple way that only three current sensors will be needed. Analytical equations are extracted in this paper to show that some of current components which do not contribute in torque production will be eliminated due to the proposed scheme. Simulation and experimental results are provided to verify the benefits of the proposed configuration.

scholarly journals Constraint Satisfaction in Current Control of a Five-Phase Drive with Locally Tuned Predictive Controllers

Energies ◽  
2019 ◽  
Vol 12 (14) ◽  
pp. 2715 ◽  
Author(s):  
Agnieszka Kowal G. ◽  
Manuel R. Arahal ◽  
Cristina Martin ◽  
Federico Barrero
Keyword(s):  
Predictive Control ◽  
Tracking Error ◽  
Induction Machines ◽  
Current Control ◽  
Feasibility Problem ◽  
Switching Frequency ◽  
Usual Practice ◽  
Parasitic Currents ◽  
Multi Phase ◽  
Predictive Controllers

The problem of control of stator currents in multi-phase induction machines has recently been tackled by direct digital model predictive control. Although these predictive controllers can directly incorporate constraints, most reported applications for stator current control of drives do no use this possibility, being the usual practice tuning the controller to achieve the particular compromise solution. The proposal of this paper is to change the form of the tuning problem of predictive controllers so that constraints are explicitly taken into account. This is done by considering multiple controllers that are locally optimal. To illustrate the method, a five-phase drive is considered and the problem of minimizing x − y losses while simultaneously maintaining the switching frequency and current tracking error below some limits is tackled. The experiments showed that the constraint feasibility problem has, in general, no solution for standard predictive control, whereas the proposed scheme provides good tracking performance without violating constraints in switching frequency and at the same time reducing parasitic currents of x − y subspaces.

Trade-offs analysis in predictive current control of multi-phase induction machines

2018 ◽  
Vol 81 ◽  
pp. 105-113 ◽  
Author(s):  
Manuel R. Arahal ◽  
Federico Barrero ◽  
Mario J. Durán ◽  
Manuel G. Ortega ◽  
Cristina Martín
Keyword(s):  
Induction Machines ◽  
Current Control ◽  
Trade Offs ◽  
Multi Phase
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