Airship control using neural network augmented model inversion

Author

Park, Chang-Su ; Lee, Hyunjae ; Tahk, Min-Jea ; Bang, Hyochoong

Author_Institution

Div. of Aerospace Eng., Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea

Volume

1

fYear

2003

fDate

23-25 June 2003

Firstpage

558

Abstract

Airship is a highly nonlinear plant which requires gain scheduled controller for various flight conditions. Model inversion control is augmented with neural network to control the airship. The input-output feedback linearization allows one to design a linear controller from a nonlinear system. Neural network is used to compensate the nonlinearities resulting from this linearization. The control technique is applied to two different airship flight conditions. The results shows that control technique is successful in controlling both conditions.

Keywords

aircraft control; control nonlinearities; control system synthesis; feedback; linearisation techniques; neurocontrollers; nonlinear systems; airship control; airship flight conditions; augmented model inversion; gain scheduled controller; input-output feedback linearization; inversion control; linear controller design; neural network; nonlinear system; Aerospace engineering; Aircraft; Control systems; Differential equations; Linear feedback control systems; Neural networks; Neurofeedback; Nonlinear control systems; Nonlinear equations; Stability;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Applications, 2003. CCA 2003. Proceedings of 2003 IEEE Conference on

Print_ISBN

0-7803-7729-X

Type

conf

DOI

10.1109/CCA.2003.1223497

Filename

1223497