Time-varying state observer based twisting control of linear induction motor considering dynamic end effects with unknown load torque

2019 ◽  
Vol 93 ◽  
pp. 290-301 ◽  
Author(s):  
Lei Zhang ◽  
Hui Zhang ◽  
Hussein Obeid ◽  
Salah Laghrouche
Keyword(s):  
Induction Motor ◽  
State Observer ◽  
Time Varying ◽  
Load Torque ◽  
End Effects ◽  
Linear Induction ◽  
Linear Induction Motor ◽  
Twisting Control ◽  
Unknown Load

Field-Circuit Coupled Modeling for Linear Induction Motor Drive System

2013 ◽  
Vol 416-417 ◽  
pp. 711-717
Author(s):  
Zhi Hua Zhang ◽  
Li Ming Shi ◽  
Hua Cai ◽  
Yao Hua Li
Keyword(s):  
Mathematical Model ◽  
Induction Motor ◽  
Circuit Simulation ◽  
Power Converter ◽  
Drive System ◽  
Coupled Modeling ◽  
End Effects ◽  
Linear Induction ◽  
Linear Induction Motor ◽  
Motor Drive System

Linear drive system is widely applied in mid-low speed Maglev, subway transportation, etc. It is composed of two principal components, high power converter and linear induction motor. The converter and motor are designed separately, whole drive system usually use circuit simulation by extracting the mathematical model of linear induction motor. However, LIM has complex electromagnetic field, which needs to considerate the transverse and longitude end effects [1-. This makes LIM mathematical model inaccurate, hard to simulate the real dynamic characteristics of LIM.

scholarly journals Motion control of linear induction motor based on optimal recurrent wavelet neural network-PID controller

2018 ◽  
Vol 7 (4) ◽  
pp. 2028 ◽  
Author(s):  
Ameer L. Saleh ◽  
Badiryah A. Obaid ◽  
Adel A. Obed
Keyword(s):  
Neural Network ◽  
Induction Motor ◽  
Pid Controller ◽  
Pulse Width Modulation ◽  
Pso Algorithm ◽  
Wavelet Neural Network ◽  
Voltage Source ◽  
End Effects ◽  
Linear Induction ◽  
Linear Induction Motor

This paper contains a proposed controller based on optimal recurrent wavelet neural network (RWNN) with PID controller to control the velocity and hence the stator current as well as the developed thrust of three phase linear induction motor (LIM) which consider the end effects. A vector control represented by indirect field oriented control (IFOC) technique is appointed to attain velocity and flux control for different loading conditions. Moreover, a voltage source inverter based on space vector pulse width modulation (SVPWM) is utilized to give the required stator voltage of LIM. A well-known particle swarm optimization (PSO) algorithm is employed for online tuning of the proposed controller. The computer simulation results show that this controller is effective and gives preferable and rigorous performance compared with a results obtained from conventional wavelet neural network (WNN) and PID controllers.  

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