scholarly journals Performance Analysis of Direct Torque Controllers in Five-Phase Electrical Drives

2021 ◽  
Vol 11 (24) ◽  
pp. 11964
Author(s):  
Mario Bermúdez ◽  
Federico Barrero ◽  
Cristina Martín ◽  
Manuel Perales

The industrial application of electric machines has grown in the last decades, thanks to the development of microprocessors and power converters, which have permitted their use as variable-speed drives. Although three-phase machines are the common trend, the interest of the research community has recently focused on machines with more than three phases, known as multiphase machines. The principal reason lies in the exploitation of their advantages in terms of reliability, i.e., post-fault operating capability. Additionally, multiphase machines provide a better current distribution among phases, and lower current harmonic production in the power converter, than conventional three-phase machines. However, multiphase drive applications require the development of complex controllers to regulate the torque (or speed) and flux of the machine. In this regard, direct torque controllers have appeared as a viable alternative due to their easy formulation and high flexibility to incorporate control objectives. However, these controllers face some peculiarities and limitations in their use that require attention. This work aims to tackle direct torque control as a viable alternative for the regulation of multiphase drives. Special attention will be paid to the development of the control technique and the expected benefits and limitations in the obtained results. Case examples based on symmetrical five-phase induction machines with distributed windings in the motoring mode of operation will be used to this end.

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.


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

2005 ◽  
Vol 41 (6) ◽  
pp. 1627-1636 ◽  
Author(s):  
R. Bojoi ◽  
F. Farina ◽  
G. Griva ◽  
F. Profumo ◽  
A. Tenconi

2019 ◽  
Author(s):  
R. Senthil Kumar ◽  
S. Jayanandhini ◽  
J. Jenisha ◽  
M. Jayalakshmi ◽  
S. Madhumitha

2011 ◽  
Vol 367 ◽  
pp. 89-96
Author(s):  
U. Zangina ◽  
H.N. Yahaya ◽  
M. Aminu ◽  
Z.O. Niyi

Direct Torque Control (DTC) has emerged over the last two decades as a suitable alternative to the well-known Field Oriented Control (FOC) or vector control technique for electric drives mainly due to its simple control scheme, low computational time and reduced parameter sensitivity. In this paper, speed control of an induction machine based on DTC strategy has been developed and a comprehensive study is presented. The performance of the control method has been demonstrated by simulations using the Matlab/Simulink software package. Several numerical simulations have been carried out in steady state and transient operations.


Author(s):  
Reyad Abdelfadil ◽  
László Számel

The electrical drive systems utilized in Electric Vehicles (EVs) applications must be reliable and high performance. To providing these specifications, it is essential to design high-efficiency electric motors and develop high-performance controllers. This study introduces direct torque control of Switched Reluctance Motor (SRM) for electric vehicle applications using Model Predictive Control (MPC) technique. The direct torque control using MPC is proposed to maintain the motor torque and motor speed to tracking desired signals with a satisfactory response. In this study, the MPC algorithm was programmed in C- language, and the simulation tests were performed using a non-linear model of 6/4 - 60 kW SRM that is fed with the symmetrical converter. The proposed controller was tested under different load conditions to verify the robustness of the controller, as well as at variable speeds to investigate the tracking performance. Thanks to the proposed method, the SRM torque ripples, stator copper losses, and average switching frequency of the power converter can reduce effectively due to applying a cost function that combines multiple objectives. The obtained outcomes show the effectiveness of the suggested approach compared to conventional direct torque control techniques.


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