Robust backstepping control of permanent magnet linear synchronous motor in extended region using Artificial Neural Network

This paper presents a robust nonlinear controller for force and position control of a linear synchronous motor (PMLSM) drive in extended region. An ideal backstepping controller is first designed based on adaptive backstepping control approach then the backstepping control and artificial neural netw...

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Bibliographic Details
Published in2008 IEEE International Conference on Industrial Technology pp. 1 - 5
Main Authors Maleknia, A.R., Rahimi, K., Zarchi, H.A., Soltani, J.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2008
Subjects
Artificial neural networks
Coils
Force
Mathematical model
Robustness
Synchronous motors
Windings
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Summary:This paper presents a robust nonlinear controller for force and position control of a linear synchronous motor (PMLSM) drive in extended region. An ideal backstepping controller is first designed based on adaptive backstepping control approach then the backstepping control and artificial neural network (ANN) are combined in order to design a robust nonlinear controller which is capable of preserving the drive system robustness subject to all parameter variation and uncertainties. The overall system stability is proved by Lyapunov theory. The validity of proposed controller is supported by computer simulation results.
ISBN:9781424417056
1424417058
DOI:10.1109/ICIT.2008.4608580