Adaptive Stabilizing Controller Design by Takagi-Sugeno Model for Uncertain Nonlinear Systems

Author

Singh, Neeru ; Kandwal, Krishen Kant ; Bindra, Gundeep Singh ; Kandwal, Jyotsana ; Singh, Prashant Kumar ; Kole, Alok

Author_Institution

EEE Dept., Mody Inst. Of Technol. & Sci., Lakshmangarh, India

fYear

2012

fDate

24-26 July 2012

Firstpage

90

Lastpage

95

Abstract

Magnetic Levitation is a complex nonlinear mechatronic system and consequently poses a challenging control problem. We propose real time adaptive and nonadaptive controllers based on fuzzy state feedback to stabilize the system using the Lyapunov criterion. We employ Takagi-Sugeno formulation to model our system. The proposed controller is divided into 2 parts - the first part stabilizes the nominal plant without taking into account the modeling uncertainties and the second part accounts for the same. Further, we simulate such a system using MATLAB and establish the effectiveness of our control paradigm and finally discuss the merits and demerits of the same.

Keywords

Lyapunov methods; adaptive control; control system synthesis; fuzzy control; large-scale systems; magnetic levitation; nonlinear control systems; stability; uncertain systems; Lyapunov criterion; MATLAB; Takagi-Sugeno model; adaptive stabilizing controller design; complex nonlinear mechatronic system; fuzzy state feedback; magnetic levitation; uncertain nonlinear systems; Adaptation models; Adaptive systems; Bismuth; Electromagnets; Magnetic levitation; Mathematical model; Uncertainty; Lyapunov-based stability; Magnetic levitation; Non-linear Control; T-S Model;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence, Communication Systems and Networks (CICSyN), 2012 Fourth International Conference on

Conference_Location

Phuket

Print_ISBN

978-1-4673-2640-7

Type

conf

DOI

10.1109/CICSyN.2012.27

Filename

6274323