Robust control of a three degrees of freedom aeroelastic model using an intelligent observer

Author

Prabhu, L. ; Srinivas, J.

Author_Institution

Dept. of Mech. Eng., Nat. Inst. of Technol., Rourkela, India

fYear

2015

fDate

18-20 Feb. 2015

Firstpage

1

Lastpage

5

Abstract

A numerical investigation of instability of an aeroelastic model subjected to an external disturbance is carried out with pitch, plunge and flap motions. The uncontrolled response of a model is very dangerous and catastrophic in nature. To control the dynamics, the linear quadratic regulator (LQR) a form of feedback control methodology is used in conjunction with a neural network as a state-observer to estimate the parameters to control the model. The controller performance is studied against the conventional LQR control. Time-domain simulations are conducted near the flutter regions. Results are shown in the form of graphs and tables.

Keywords

aerospace control; elasticity; linear quadratic control; motion control; neurocontrollers; observers; parameter estimation; robust control; LQR control; aeroelastic model; feedback control methodology; flap motion; intelligent observer; linear quadratic regulator; neural network; parameter estimation; pitch motion; plunge motion; robust control; state observer; time-domain simulation; Aerodynamics; Atmospheric modeling; Automotive components; Control systems; Mathematical model; Neural networks; Observers; Aeroelastic model; Neural network; State observer; linear quadratic regulator; three degree of freedom;

fLanguage

English

Publisher

ieee

Conference_Titel

Robotics, Automation, Control and Embedded Systems (RACE), 2015 International Conference on

Conference_Location

Chennai

Type

conf

DOI

10.1109/RACE.2015.7097251

Filename

7097251