scholarly journals Modeling and simulation of a 3-ф induction motor based on two types of WFA

2021 ◽  
Vol 11 (2) ◽  
pp. 1105
Author(s):  
Ahmed J. Ali ◽  
Laith A. Khalaf ◽  
Ahmed H. Ahmed
Keyword(s):  
Steady State ◽  
Induction Motor ◽  
Transient Model ◽  
Electrical Circuits ◽  
Part Type ◽  
Motor Current ◽  
Sinusoidal Waveform ◽  
The One ◽  
Cage Rotor ◽  
Steady State Performance

This paper has been proposed to simulate the transient model of 3-Ф cage rotor induction motor based on winding function approach (WFA). According to this method the motor is assumed to be consist of an electrical circuits on both stator and rotor. The magneto motive forces (MMF) that have been generated by these circuits play a role for coupling them together. Then mutual and self-inductances will be easily computed using WFA. Two types of WFA have been used to build and simulate the model of the induction motor. In the one part type, it’s assumed that the coupling MMF between stator and rotor have a non-sinusoidal shapes according to the actual windings distribution over the motor slots. While in second part type the generated MMF in are assumed to have sinusoidal waveform. The suggested models may be used to simulate the dynamic as well as steady state performance of a faulty and non-faulty motor. A simulation of the suggested models that consists of m-rotor bars and n-stator phases multiple coupled circuit-based has been performed using matlab m.file and the results of the motor current have been proved in its nonlinear way by using WFA.

scholarly journals Current Prediction-Based Three-Vector Voltage Optimization System for the Induction Motor with Current Static Error Correction

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Li Haixia ◽  
Lin Jican
Keyword(s):  
Steady State ◽  
Model Predictive Control ◽  
Induction Motor ◽  
Predictive Control ◽  
Control Method ◽  
Tracking Error ◽  
Current Control ◽  
Static Error ◽  
Control Stability ◽  
Steady State Performance

In the present study, the current control method of the model predictive control is applied to the field-oriented control induction motor. The augmentation model of the motor is initially established based on the stator current equation, which performs the current predictive control and formulates the new cost function by means of tracking error. Then, the influence of parameter error on the current control stability in the prediction model is analysed, and the current static error is corrected according to the correlation between the input and feedback. Finally, a simple and effective three-vector control strategy is proposed. Moreover, three adjacent basic voltage vectors are utilized, and then six candidate voltage vectors are synthesized in each sector to replace eight basic voltage vectors in the conventional model predictive control (MPC). The obtained results show that synthesized vectors, which have arbitrary amplitude and direction, significantly expand the coverage of the system’s control set, reduce the torque and flux pulsation in the conventional MPC, and improve the steady-state performance of the system. Finally, the dSPACE platform is employed to validate the performed experiment. It is concluded that the proposed method can reduce the torque and flux pulse, perform the induction motor current control, and improve the steady-state performance of the system.

scholarly journals Steady state performance analysis of multi-phase induction motor with non-sinusoidal supply

2015 ◽  
Vol 45 (3) ◽  
pp. 322-329
Author(s):  
YunJun GUO ◽  
XinZhen WU ◽  
Dong WANG ◽  
JunQuan CHEN ◽  
SiWei CHENG
Keyword(s):  
Steady State ◽  
Performance Analysis ◽  
Induction Motor ◽  
Multi Phase ◽  
Steady State Performance

scholarly journals Fault Detection (Condition Monitoring) of Induction Motor based on Wavelet Transform

2013 ◽  
pp. 268-271
Author(s):  
U. E. Hiwase ◽  
S. B. Warkad
Keyword(s):  
Wavelet Transform ◽  
Steady State ◽  
Fault Detection ◽  
Induction Motor ◽  
Condition Monitoring ◽  
Discrete Wavelet ◽  
Steady State Analysis ◽  
Motor Current ◽  
Current Signatures ◽  
Vector Approach

Presently, many condition monitoring techniques that are based on steady-state analysis are being applied to Induction motor. However, the operation of induction motor is predominantly transient, therefore prompting the development of non-stationary techniques for fault detection. In this paper we apply steady-state techniques e.g. Motor Current Signatures Analysis (MCSA) and the Extended Park’s Vector Approach (EPVA), as well as a new transient technique that is a combination of the EPVA, the Discrete Wavelet Transform and statistics, to the detection of turn faults in a induction motor. It will be shown that steady-state techniques are not effective when applied to induction motor operating under transient.

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