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A neuro-fuzzy-sliding mode controller using nonlinear sliding surface applied to the coupled tanks system

  • Ahcene Boubakir
  • Fares Boudjema
  • Salim Labiod
Article

Abstract

The aim of this paper is to develop a neuro-fuzzy-sliding mode controller (NFSMC) with a nonlinear sliding surface for a coupled tank system. The main purpose is to eliminate the chattering phenomenon and to overcome the problem of the equivalent control computation. A first-order nonlinear sliding surface is presented, on which the developed sliding mode controller (SMC) is based. Mathematical proof for the stability and convergence of the system is presented. In order to reduce the chattering in SMC, a fixed boundary layer around the switch surface is used. Within the boundary layer, where the fuzzy logic control is applied, the chattering phenomenon, which is inherent in a sliding mode control, is avoided by smoothing the switch signal. Outside the boundary, the sliding mode control is applied to drive the system states into the boundary layer. Moreover, to compute the equivalent controller, a feed-forward neural network (NN) is used. The weights of the net are updated such that the corrective control term of the NFSMC goes to zero. Then, this NN also alleviates the chattering phenomenon because a big gain in the corrective control term produces a more serious chattering than a small gain. Experimental studies carried out on a coupled tank system indicate that the proposed approach is good for control applications.

Keywords

Sliding mode fuzzy logic neural networks coupled tanks system 

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Copyright information

© Institute of Automation, Chinese Academy of Sciences and Springer-Verlag GmbH 2009

Authors and Affiliations

  1. 1.Control LaboratoryMilitary Polytechnic SchoolAlgiersAlgeria
  2. 2.Process Control LaboratoryNational Polytechnic SchoolEl-Harrach, AlgiersAlgeria
  3. 3.Laboratory of Modeling and Studies in Electrical Engineering, Faculty of EngineeringUniversity of JijelJijelAlgeria

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