Designing of Adaptive Model-Free Controller Based on Output Error and Feedback Linearization | Zendy

Saeed Pezeshki | Zendy; Mohammad Ali Badamchizadeh | Zendy; Sehraneh Ghaemi | Zendy; M. A. Poor | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Designing of Adaptive Model-Free Controller Based on Output Error and Feedback Linearization

Author(s) -

Saeed Pezeshki,

Mohammad Ali Badamchizadeh,

Sehraneh Ghaemi,

M. A. Poor

Publication year - 2013

Publication title -

abstract and applied analysis

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.228

H-Index - 56

eISSN - 1687-0409

pISSN - 1085-3375

DOI - 10.1155/2013/461907

Subject(s) - control theory (sociology) , linearization , controller (irrigation) , feedback linearization , mathematics , adaptive control , signal (programming language) , fuzzy logic , surface (topology) , transfer function , control (management) , computer science , nonlinear system , engineering , artificial intelligence , physics , geometry , quantum mechanics , agronomy , biology , programming language , electrical engineering

This paper introduces a new approach to design Model-Free Adaptive Controller (MFAC) using adaptive fuzzy procedure as a feedback linearization based on output error. The basic idea is to transfer the control signal to an appropriate surface and then, depending on the output error of system, the control signal changes around this surface. Some examples are provided as well to illustrate the efficiency of the proposed approach. The obtained simulation results have shown good performances of the proposed controller

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research