Basic Search
Home | Aims&Scope | Latest Numbers | Copyright Information | Contact
Subscription Information | Instructions for Authors | Editorial Board
 
User Panel
Email :
Password :
Lost Password | Create Account
 
Paper title: ARTIFICIAL NEURAL NETWORK SLIDING MODE CONTROL FOR MULTI-MACHINE WEB WINDING SYSTEM

Author(s): BOUSMAHA BOUCHIBA, ISMAIL KHALIL BOUSSERHANE, MOHAMMED KARIM FELLAH, ABDELDJEBAR HAZZAB,

Abstract:

In this work we have presented a study of multi input multi output control structures of multi-motor system using artificial neural network sliding mode control (ANN-SMC). The model of a multi-motor consists of three induction machine which are mechanically coupled. The combination of neural networks with sliding mode control (SMC) methodology is used to eliminate chattering phenomenon and to improve the error performance of SMC. In the approach, two parallel neural networks (NNs) are utilized to realize an ANN-SMC. As demonstrated from simulations, it appears that a comparatively good performance can be reached by the proposed artificial neural network sliding mode controller.

Keywords: Multi-motors, Artificial neural network (ANN) control, Sliding mode control, Multiple-input multiple-output (MIMO)

Year: 2017 | Tome: 62 | Issue: 1 | Pp.: 109-113

Full text : PDF (241 KB)