Control of High Speed Linear Induction Motor Using Artificial Neural Networks

artifical neural network, linear induction motor, speed control

  • Mohamad mehdi Alizadeh Department of electrical engineering, Shahinshahr Branch, Islamic Azad University, Shahinshahr, Iran
  • Amir Hossein Zaeri
Keywords: : artifical neural network, linear induction motor, speed control

Abstract

This paper presents a discrete-time control for a Linear Induction Motor (LIM). First, an identifier is proposed with a nonlinear block controllable form (NBC) structure. This identifier is based on a discrete-time high order neural network trained on-line with an extended Kalman filter (EKF)-based algorithm.  The backstepping control and Artificial Neural Networks (ANN ) are combined in order to design a robust controller that is capable of preserving the drive system robustness subject to all parameter variations and uncertainties. The overall system stability is proved by Lyaponuv theory.. The neural control performance is illustrated via simulations. 

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Published
2022-06-01
How to Cite
Alizadeh, M. mehdi, & Zaeri, A. H. (2022). Control of High Speed Linear Induction Motor Using Artificial Neural Networks. Majlesi Journal of Mechatronic Systems, 11(2), 21-28. Retrieved from https://ms.majlesi.info/index.php/ms/article/view/524
Section
Articles