regenerating mode
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2021 ◽  
Author(s):  
Masaki Nagataki ◽  
Keiichiro Kondo ◽  
Osamu Yamazaki ◽  
Kazuaki Yuki ◽  
Yosuke Nakazawa

2019 ◽  
Vol 34 (8) ◽  
pp. 7812-7825 ◽  
Author(s):  
Hady Abdel Maksoud ◽  
Shaaban M. Shaaban ◽  
Mohamed S. Zaky ◽  
Haitham Z. Azazi
Keyword(s):  

2018 ◽  
Vol 8 (1) ◽  
pp. 2572-2576 ◽  
Author(s):  
M. S. Zaky ◽  
H. A. Maksoud ◽  
H. Z. Azazi

Operation at low frequencies of sensorless drives using machine model-based estimation methods is a challenging issue. This paper proposes an adaptive flux observer (AFO) method of speed estimation for sensorless induction motor drives. The observer feedback gains are designed to guarantee accurate speed estimation, especially at low frequencies in the regenerating mode operation. A complete sensorless IM drive with the proposed AFO is executed in the laboratory. Extensive experimental results under different operating conditions are provided to prove the effectiveness of the proposed AFO, particularly under low stator frequencies in both motoring and regenerating modes of operation.


2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Wen-Cheng Pu ◽  
Yung-Chang Luo ◽  
Po-Yan Chu

This paper pertains to a technique of a sensorless indirect stator field-oriented induction motor control, which prevents the accumulative errors incurred by the integrator and the problem relating to the stability of the control system caused by the stator resistance susceptible to temperature variations while conducting the flux estimation directly and computing the synchronous rotary speed. The research adds an adaptive flux observer to estimate the speed of the rotor and uses the fixed trace algorithm (FTA) to execute an online estimation of the slip difference, thereby improving the system of stability under the low rotary speed at regenerating mode and the influence of the rotor resistance on the slip angle. Finally, the paper conducts simulations by Simulink of MATLAB and practices to verify the correctness of the result the paper presents.


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