Design of Stator Flux Observer Based on Neural Network for Induction Motor

2010 ◽  
Author(s):  
Sheng-wei Gao ◽  
Xian Zhang
Keyword(s):  
Neural Network ◽  
Induction Motor ◽  
Flux Observer ◽  
Stator Flux

Stator Flux Observer for Induction Motor Based on Prescribed Convergence Law Algorithm

2015 ◽  
Vol 719-720 ◽  
pp. 461-469
Author(s):  
Yue Dou Pan ◽  
Ze Ping Chen ◽  
Hua De Li
Keyword(s):  
Induction Motor ◽  
Sliding Mode ◽  
Direct Torque Control ◽  
Estimation Method ◽  
Torque Control ◽  
Control Effect ◽  
Flux Observer ◽  
Rotor Flux ◽  
Observer Model ◽  
Stator Flux

This paper proposes a stator flux estimation method for induction motor based on Prescribed Convergence Law algorithm. A stator flux observer is designed and applied for direct torque control (DTC) of induction motor. The observer tracks stator current and its differential with Prescribed Convergence Law algorithm of second order sliding mode in order to estimate rotor flux, and then estimate stator flux using the relationship between stator flux and rotor flux. This paper takes the differential of estimated flux error as disturbance and divides the MIMO (Multiple Input Multiple Output) observer model into two separate SISO (single input single output) systems, which simplifies the stability analysis. The observer is applied to DTC of induction motor and achieves a good control effect. Simulation experiment results validate the proposed method.

Hardware Implementation of Induction Motor using ANN Controller under Low Speed Operation

2016 ◽  
Vol 2 (3) ◽  
pp. 522
Author(s):  
Saranya R ◽  
Thangavel S
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Induction Motor ◽  
High Performance ◽  
Motor Speed ◽  
Low Speed ◽  
Neural Network Controller ◽  
Network Controller ◽  
Artificial Neural ◽  
Stator Flux

<p>For the high performance drives the artificial neural network based Induction motor is proposed. During the load variation, the performance of the Induction motor proves to be low. Intelligent controller provided for controlling the speed of induction motor especially with high dynamic disturbances. An effective sensorless strategy based on artificial neural network controller is developed to estimate rotor’s position and to regulate the stator flux under low speed, helps to track the motor speed accurately during the whole operating region. The overall combination of this setup is simulated in the MATLAB/SIMULINK platform. Finally an experimental prototype of the proposed drive has been developed to validate the performance of Induction Motor and the dynamic speed response of Induction motor with proposed controller was estimated for various speed and found that the speed can be controlled effectively.</p>

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