Model reference neural network controller for induction motor speed control

2002 ◽  
Vol 17 (2) ◽  
pp. 157-163 ◽  
Author(s):  
Tien-Chi Chen ◽  
Tsong-Terng Sheu
Keyword(s):  
Neural Network ◽  
Induction Motor ◽  
Speed Control ◽  
Motor Speed ◽  
Model Reference ◽  
Neural Network Controller ◽  
Network Controller

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>

AN ULTRASONIC MOTOR SPEED CONTROL SCHEME BASED ON NEURAL NETWORKS AND ITERATIVE CONTROLLER

2004 ◽  
Vol 01 (03) ◽  
pp. 457-470
Author(s):  
X. H. SHI ◽  
Y. C. LIANG ◽  
X. XU
Keyword(s):  
Neural Networks ◽  
Adaptive Learning ◽  
Speed Control ◽  
Ultrasonic Motor ◽  
Random Disturbance ◽  
Motor Speed ◽  
Neural Network Controller ◽  
Learning Rates ◽  
Network Controller ◽  
Control Scheme

An ultrasonic motor speed control scheme is presented in this paper based on neural networks and iterative controller. Suitable ranges of the adaptive learning rates of neural network controller are presented through the theoretical analysis on the proposed model, which could guarantee its stability. The convergence of iterative controller is also discussed. Numerical results show that the control scheme is effective for various kinds of reference speeds of ultrasonic motors. Comparisons with the existing method show that the precision of control could be increased using the proposed method. Simulations also show that the proposed scheme is fairly robust against random disturbance to the control variables.

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