Simulation of high-speed linear-induction-motor end effects in low-speed tests

1974 ◽  
Vol 121 (9) ◽  
pp. 961 ◽  
Author(s):  
I. Boldea ◽  
S.A. Nasar
Keyword(s):  
Induction Motor ◽  
High Speed ◽  
End Effects ◽  
Linear Induction ◽  
Low Speed ◽  
Linear Induction Motor

scholarly journals Study on the optimization of linear induction motor traction system for fast-speed maglev train

2018 ◽  
Vol 4 (3 suppl. 1) ◽  
pp. 156-164
Author(s):  
Ying Yang ◽  
Jiangmin Deng ◽  
Laisheng Tong ◽  
Xiaoсhun Li ◽  
Qibiao Peng ◽  
...  
Keyword(s):  
Induction Motor ◽  
High Speed ◽  
Input Voltage ◽  
Force Characteristic ◽  
Maximum Speed ◽  
Maglev Train ◽  
Linear Induction ◽  
Low Speed ◽  
Linear Induction Motor ◽  
Fast Speed

Background: The short stator linear induction motor (LIM) is normally used in medium-low speed maglev train. The restriction by mounting space on bogie and motor input voltage from the third power supply rail lead that the maximum speed of medium-low speed maglev train can reach no more than 120 km/h. Aim: In this paper, by means of the LIM design optimization, improvement of the LIM force characteristic in high speed range, the maximum speed of medium-low speed maglev train can reach 160 km/h. Methods: After comparing the LIM theoretical calculation and actual test data, it shows that the new designed LIM is effective. Conclusion: Afterwards, by installing the new designed LIMs, the traditional medium-low speed maglev train becomes a fast-speed maglev train, and it has a bright future in transportation applications.

scholarly journals Control strategy for optimising the thrust of a high‐speed six‐phase linear induction motor

2020 ◽  
Vol 13 (11) ◽  
pp. 2260-2268
Author(s):  
Yi Han ◽  
Ziling Nie ◽  
Jin Xu ◽  
Junjie Zhu ◽  
Jun Sun
Keyword(s):  
Induction Motor ◽  
Control Strategy ◽  
High Speed ◽  
Linear Induction ◽  
Linear Induction Motor

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.  

Sign in / Sign up

Export Citation Format

Share Document