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

Author

Farooq, Umar ; Gu, Jason ; El-Hawary, Mohamed E. ; Jun Luo ; Asad, Muhammad Usman

Author_Institution

Dept. of Electr. Eng., Univ. of The Punjab, Lahore, Pakistan

fYear

2015

fDate

3-6 May 2015

Firstpage

1508

Lastpage

1513

Abstract

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.

Keywords

feedback; fuzzy control; linear matrix inequalities; nonlinear control systems; observers; pendulums; reduced order systems; scheduling; stability; LMI technique; MATLAB simulation; TS fuzzy model; Takagi-Sugeno fuzzy modeling; aero-pendulum; aeropendulum; equilibrium state; linear matrix inequality technique; observer based fuzzy LMI regulator; observer based fuzzy regulator; output feedback control design; reduced order nonlinear plant model; reference tracking; scheduling variable; sector nonlinearity method; stabilization; tracking control; Linear matrix inequalities; MATLAB; Mathematical model; Observers; Output feedback; PD control; Regulators; Aero-pendulum; LMI; MATLAB/Simulink; TS fuzzy model; fuzzy observer; fuzzy regulator;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering (CCECE), 2015 IEEE 28th Canadian Conference on

Conference_Location

Halifax, NS

ISSN

0840-7789

Print_ISBN

978-1-4799-5827-6

Type

conf

DOI

10.1109/CCECE.2015.7129504

Filename

7129504