Observer-based nonlinear model predictive tracking control for bank-to-turn missiles

Author

Kang, Sunhyuk ; Shin, Jongho ; Kim, H. Jin

Author_Institution

Seoul Nat. Univ., Seoul

fYear

2007

fDate

17-20 Sept. 2007

Firstpage

2620

Lastpage

2624

Abstract

This paper presents the validation of autopilot design for bank-to-turn (BTT) missiles with observer-based nonlinear model predictive tracking control (NMPTC) algorithms. The main control objective is accurate tracking of guidance commands. The performance of conventional NMPTC significantly degrades when measured feedback state is polluted by process and measurement noise. In order to avoid this performance degeneration, Kalman filtering technique is augmented to NMPTC framework. The proposed scheme is validated by numerical simulations.

Keywords

Kalman filters; feedback; missile control; nonlinear control systems; observers; predictive control; tracking; Kalman filtering; bank-to-turn missiles; feedback state; guidance commands; observer-based nonlinear model predictive tracking control; performance degeneration; Algorithm design and analysis; Degradation; Filtering; Kalman filters; Missiles; Noise measurement; Numerical simulation; Pollution measurement; Predictive models; State feedback; Kalman filter; bank-to-turn missile; nonlinear model predictive tracking control;

fLanguage

English

Publisher

ieee

Conference_Titel

SICE, 2007 Annual Conference

Conference_Location

Takamatsu

Print_ISBN

978-4-907764-27-2

Electronic_ISBN

978-4-907764-27-2

Type

conf

DOI

10.1109/SICE.2007.4421434

Filename

4421434