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...

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Hauptverfasser: Singh, N., Kandwal, K. K., Bindra, G. S., Kandwal, J., Singh, P. K., Kole, A.
Format: Tagungsbericht
Sprache:eng
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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