Title :
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
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;
Conference_Titel :
Computational Intelligence, Communication Systems and Networks (CICSyN), 2012 Fourth International Conference on
Conference_Location :
Phuket
Print_ISBN :
978-1-4673-2640-7
DOI :
10.1109/CICSyN.2012.27
