Robust Backstepping Control of Linear Induction Motor with Primary End Effect using Artificial Neural Networks

This paper presents a robust nonlinear controller for speed and flux control of a linear induction motor (LIM) drive with taking the primary end effect into account. An ideal nonlinear controller is first designed based on adaptive backstepping control approach for LIM low and high speed operation....

Full description

Saved in:
Bibliographic Details
Published in2006 IEEE International Conference on Industrial Technology : Mumbai, India, 15-17 December, 2006 pp. 949 - 954
Main Authors Abbasian, M.A., Soltani, J.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2006
Subjects
Adaptive control
Artificial neural networks
Backstepping
Control systems
Induction motors
Nonlinear control systems
Programmable control
Robust control
Stability
Uncertainty
Online AccessGet full text

Cover

More Information
Summary:This paper presents a robust nonlinear controller for speed and flux control of a linear induction motor (LIM) drive with taking the primary end effect into account. An ideal nonlinear controller is first designed based on adaptive backstepping control approach for LIM low and high speed operation. Then the backstepping control and artificial neural networks (ANN ) are combined in order to design a robust nonlinear controller that is capable of preserving the drive system robustness subject to all parameter variations and uncertainties. The overall system stability is proved by Lyapunov theory. Finally, The effectiveness and validity of the proposed controller is supported by computer simulation results.
ISBN:1424407257
9781424407255
DOI:10.1109/ICIT.2006.372302