A nonlinear robust control design combined with neural network for a 3 degree of freedom (DOF) helicopter

Author

Yang Kaiyan ; Xian Bin ; Li Xindong ; Yu, Feng ; Diao Chen-Diao ; Feng Yu

Author_Institution

Tianjin Key Lab. of Process Meas. & Control, Tianjin Univ., Tianjin, China

fYear

2010

fDate

29-31 July 2010

Firstpage

665

Lastpage

671

Abstract

In this paper, we proposed a nonlinear robust control design combined with neural network for a 3 degree of freedom (DOF) helicopter test-bed which may be subjected to unknown external disturbance and contains structure uncertainties. Regulation and tracking control design are proposed for the angles of elevation, pitch and travel axes. Numerical simulation results are provided to illustrate that the proposed controllers achieve good performance and the closed loop systems obtain good robustness with respect to system uncertainties and disturbances.

Keywords

aircraft control; closed loop systems; control system synthesis; helicopters; neurocontrollers; nonlinear control systems; numerical analysis; robust control; testing; closed loop systems; helicopter test-bed; neural network; nonlinear robust control design; numerical simulation; structure uncertainties; tracking control design; unknown external disturbance; Analytical models; Artificial neural networks; Control design; Helicopters; Mathematical model; Stability analysis; Trajectory; 3-DOF; Neural Network; Robust Control; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (CCC), 2010 29th Chinese

Conference_Location

Beijing

Print_ISBN

978-1-4244-6263-6

Type

conf

Filename

5572985