Comparison of Direct Torque Control and Indirect Field-Oriented Control for Three-Phase Induction Machine

Author(s):  
Sawsan Sayed ◽  
Mena Elmenshawy ◽  
Mariam Elmenshawy ◽  
Qamar Bader ◽  
Atif Iqbal
2021 ◽  
Vol 34 (02) ◽  
pp. 698-709
Author(s):  
Mehdi Ahmadi Taleshian ◽  
Mahmood Ghanbari ◽  
Seyed Mehdi Rakhtala

In this paper, a novel hybrid Direct Torque Control (DTC) strategy based on predictive control with optimization of the Proportional-Integral (PI) controller to improve overall performances of Three-Phase Induction Machine (TPIM) drives is proposed. The presented control technique has contained merits of the DTC method such as fast dynamic response, simple structure, less dependence to machine parameters and merits of vector control method such as high accuracy. Furthermore, a hybrid DTC method with optimal voltage vectors is presented.  In the proposed control system, Genetic Algorithm (GA) is employed to obtain optimal values of the PI controller parameters. Finally, simulation results under the presented control strategy showed good performances of this method in comparison with DTC and vector control techniques.


This work relates to the study of direct torque control of the double star induction machine drive fed by two five-level diode-clamped inverters. The analysis of the three-phase direct torque control shows that this concept can be extended easily to double star induction machine even when it is fed by a multilevel inverter. Diode-clamped inverter, as one of the prominent multilevel inverters, has several advantages like high voltage and low current waveform distortion. However, it suffers from the problem of neutral point potential variation. The variation causes an unbalance in the DC-link voltage levels and increases consequently the current waveform distortion. This problem can be solved in satisfactory way by using multilevel direct torque control equipped by a balancing strategy. The simulation results, illustrating the steady state and dynamic performances, prove the effectiveness of the proposed control approach.


2016 ◽  
Vol 22 (98) ◽  
pp. 56-61
Author(s):  
Vladislav A. Kosenko ◽  
◽  
Valeriy O. Kvashnin ◽  

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