Observer based fuzzy LMI regulator for stabilization and tracking control of an aeropendulum

This paper describes the Takagi-Sugeno fuzzy modeling and output feedback control design of an aero-pendulum. The equilibrium states of reduced order nonlinear plant model are translated to the origin and the resulting model is transformed to TS fuzzy model using sector nonlinearity method. Observer based fuzzy regulator is then designed for a set of operating points using linear matrix inequality (LMI) techniques where the scheduling variable is assumed to be measurable. MATLAB simulations are performed to validate the designed regulator in stabilizing and reference tracking of aero-pendulum.