Adaptive Stabilizing Controller Design by Takagi-Sugeno Model for Uncertain Nonlinear Systems
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 mod...
Gespeichert in:
Hauptverfasser: | , , , , , |
---|---|
Format: | Tagungsbericht |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | 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. |
---|---|
DOI: | 10.1109/CICSyN.2012.27 |