An experimental study on inverse adaptive neural fuzzy control for nonlinear systems

Article type: Research Article

Authors: Tavoosi, Jafar

Affiliations: Department of Electrical Engineering, Faculty of Engineering, Ilam University, Ilam, Iran | E-mail: [email protected]

Correspondence: [*] Corresponding author: Department of Electrical Engineering, Faculty of Engineering, Ilam University, Ilam, Iran. E-mail: [email protected].

Abstract: In this paper, a type-2 fuzzy neural network is used to adaptive inverse control of a class of nonlinear systems. The proposed method has proper performance for real-time control of nonlinear and time-invariant systems and has a quick response to following changes. In this method, the high approximation ability of type 2 fuzzy systems is used to reverse system modeling and this inverse model is used immediately to control the system. In order to measure the efficiency of the proposed method, the control of dynamic, highly nonlinear and time varying water both temperature system with certain and uncertain water pressure is experimentally considered. The results show the accuracy of the proposed method.

Keywords: Water bath temperature system, inverse control, type-2 fuzzy neural, uncertainty

DOI: 10.3233/KES-200036

Journal: International Journal of Knowledge-based and Intelligent Engineering Systems, vol. 24, no. 2, pp. 135-143, 2020