A new method of gaining DC power of three-phase asynchronous motor dynamic braking

Author(s):  
Xiaomin Xiang ◽  
Pingwen Tu ◽  
Junfan Zhuo
Author(s):  
Rano Gazieva ◽  
Sharafidin Aynakulov ◽  
Aziz Nigmatov ◽  
Barna Rakhmankulova ◽  
Otabek Khafizov ◽  
...  

2021 ◽  
Author(s):  
Trisna Wati ◽  
Ilmiatul Masfufiah ◽  
Titiek Suheta ◽  
Novian Patria Uman Putra ◽  
Misbahul Munir

Author(s):  
Wang Li ◽  
Yue Liu ◽  
Junyong Sun ◽  
Lingzhi Yi ◽  
Jian Zhao ◽  
...  

2012 ◽  
Vol 433-440 ◽  
pp. 2920-2926
Author(s):  
Wen Jun Tian ◽  
Xiao Qiang Chen ◽  
Min Xing Tian

This paper introduces ¡p-¡q detection and analyzes the error in detecting the active and reactive current theoretically at the condition of three-phase and four-line at first. Then, it puts forward a new method at the base of ¡p-¡q detection. At last, on the base of MATLAB, the simulation of the new method is demonstrated to be correct and acceptable.


Author(s):  
Laura Collazo Solar ◽  
Angel A. Costa Montiel ◽  
Miriam Vilaragut Llanes ◽  
Vladimir Sousa Santos

In this paper, a new steady-state model of a three-phase asynchronous motor is proposed to be used in the studies of electrical power systems. The model allows for obtaining the response of the demand for active and reactive power as a function of voltage and frequency. The contribution of the model is the integration of the characteristics of the mechanical load that can drive motors, either constant or variable load. The model was evaluated on a 2500 kW and 6000 V motor, for the two types of mechanical load, in a wide range of voltage and frequency, as well as four load factors. As a result of the evaluation, it was possible to verify that, for the nominal frequency and voltage variation, the type of load does not influence the behavior of the powers and that the reactive power is very sensitive to the voltage variation. In the nominal voltage and frequency deviation scenario, it was found that the type of load influences the behavior of the active and reactive power, especially in the variable load. The results demonstrate the importance of considering the model proposed in the simulation software of electrical power systems.


Author(s):  
K. Vinoth Kumar ◽  
Prawin Angel Michael

This chapter deals with the implementation of a PC-based monitoring and fault identification scheme for a three-phase induction motor using artificial neural networks (ANNs). To accomplish the task, a hardware system is designed and built to acquire three phase voltages and currents from a 3.3KW squirrel-cage, three-phase induction motor. A software program is written to read the voltages and currents, which are first used to train a feed-forward neural network structure. The trained network is placed in a Lab VIEW-based program formula node that monitors the voltages and currents online and displays the fault conditions and turns the motor. The complete system is successfully tested in real time by creating different faults on the motor.


2021 ◽  
Vol 68 (3) ◽  
pp. 1871-1882
Author(s):  
Jianxin Zhu ◽  
Hongfei Wu ◽  
Junyu Chen ◽  
Lin Li ◽  
Ming Hua ◽  
...  

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