Scientific Research and Essays

  • Abbreviation: Sci. Res. Essays
  • Language: English
  • ISSN: 1992-2248
  • DOI: 10.5897/SRE
  • Start Year: 2006
  • Published Articles: 2748

Full Length Research Paper

Simulation of the adaptive neuro-fuzzy inference system (ANFIS) inverse controller using Matlab S-function

    Tarek Benmiloud
  University of Science and Technology of Oran, 1505 Elmnaouar Oran-Algeria
Email: [email protected]

  •  Accepted: 23 April 2013
  •  Published: 30 June 2013

Abstract

 

 

In this paper, for the purpose of simulating the mathematical model of adaptive neuro-fuzzy inference system (ANFIS), we use Matlab/Simulink environment with its powerful S-functions. The simulated model of ANFIS network can be then used to make the simulation of the identification and the control of linear or nonlinear systems. Created Simulink block of ANFIS give flexible exploitation of parameters of ANFIS network like learning rates and initial local parameters. We use the S-function of ANFIS to make the direct-inverse adaptive control of DC-motor. The obtained results of Direct-inverse control of DC-motor are compared with these of a classical controller which is the simplest type of controller, selected only to check the effectiveness of the proposed intelligent controller in terms of control performances and disturbance rejection.

 

Key words: Direct inverse control, adaptive neuro-fuzzy inference system (ANFIS)controller, S-function of Matlab.