scholarly journals Enhancement of Permanent-Magnet Synchronous Machines Torque Estimation Using Pulsating High-Frequency Current Injection

2020 ◽  
Vol 56 (1) ◽  
pp. 358-366 ◽  
Author(s):  
Maria Martinez ◽  
David Reigosa ◽  
Daniel Fernandez ◽  
Juan M. Guerrero ◽  
Fernando Briz
Energies ◽  
2020 ◽  
Vol 13 (3) ◽  
pp. 592
Author(s):  
Maria Martinez ◽  
David Reigosa ◽  
Daniel Fernandez ◽  
Fernando Briz

Torque estimation in permanent magnet synchronous machines and synchronous reluctance machines is required in many applications. Torque produced by a permanent magnet synchronous machine depends on the permanent magnets’ flux and d q -axes inductances, whereas torque in synchronous reluctance machines depends on the d q -axes inductances. Consequently, precise knowledge of these parameters is required for proper torque estimation. The use of high frequency signal both for permanent magnets’ flux and d q -axes inductances estimation has been recently shown to be a viable option. This paper reviews the physical principles, implementation and performance of high-frequency signal injection based torque estimation for permanent magnet synchronous machines and synchronous reluctance machines.


2015 ◽  
Vol 51 (4) ◽  
pp. 3159-3168 ◽  
Author(s):  
David Diaz Reigosa ◽  
Daniel Fernandez ◽  
Hideo Yoshida ◽  
Takashi Kato ◽  
Fernando Briz

Machines ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 139
Author(s):  
Matthias Vollat ◽  
Dominik Krahe ◽  
Frank Gauterin

To reduce torque oscillations in electric motors, harmonic current injection (HCI) has been used in industry for some time. For this purpose, higher harmonic currents calculated in advance are injected into the machine. Since the general conditions for the machine can change during its life cycle, this article presents a method that makes it possible to change the parameters of HCI during operation. For this purpose, sensor signals are used to detect the reaction of the electric motor to small variations of the HCI parameters. The knowledge gained in this way is used to make further suitable variations. FEM simulations were used to verify the effectiveness of the approach. The results show that the algorithm can independently optimize the HCI parameters during runtime and reduces the amplitude of the 6th harmonic in the torque by 87% for a permanent magnet synchronous machine.


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