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

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.

2011 ◽  
Vol 11 (6) ◽  
pp. 846-855 ◽  
Author(s):  
Thanh Hai Nguyen ◽  
Tan Luong Van ◽  
Dong-Choon Lee ◽  
Joo-Hong Park ◽  
Joon-Hyeon Hwang

Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2049
Author(s):  
Yang Liu ◽  
Jin Zhao ◽  
Quan Yin

In this paper, a model-based predictive rotor field-oriented angle compensation approach is proposed for induction machine drives. Indirect rotor field-oriented control is widely used in induction machine drives for its simple implementation and low cost. However, the accuracy of the rotor field-oriented angle is affected by variable parameters such as the rotor resistance and inductance. An inaccurate rotor field-oriented angle leads to a degradation of the torque and dynamic performance, especially in the high-speed flux-weakening region. Therefore, the d-axis and q-axis currents in the rotation reference frame are predicted based on the model and compared with the feedback current to correct the rotor field-oriented angle. To improve the stability and robustness, the proposed predictive algorithm is based on the storage current, voltage, and velocity data. The algorithm can be easily realized in real-time. Finally, the simulated and experimental results verify the algorithm’s effectiveness on a 7.5 kW induction machine setup.


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