Subscribe Now Subscribe Today
Science Alert
 
Blue
   
Curve Top
Journal of Applied Sciences
  Year: 2006 | Volume: 6 | Issue: 12 | Page No.: 2623-2628
DOI: 10.3923/jas.2006.2623.2628
 
Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail

An Optimal Backstepping Design for Blended Aero and Reaction-Jet Missile Autopilot

Liu Zhong , Xiao-Geng Liang , Bing-Gang Cao and Jun-Yi cao

Abstract:
A novel robust adaptive backstepping control approach is presented to design a pitch controller for missiles employing blended aerodynamic control and Reaction-jet Control System (RCS). The main features of this study are that a certain type of control Lyapunov function is obtained by function reconstruction to decrease the control-input fluctuation caused by mismatched controller parameters, optimal backstepping parameter set and Lyapunov function choice are gotten by Genetic Algorithm (GA). So both system stability and dynamic performance are guaranteed. Since the model of a missile with RCS is inaccurate with uncertain effect of RCS and aerodynamic parameters, a Fuzzy Cerebellar Model Articulation Controller (FCMAC) neural network is used to guarantee controller robustness, thus the bounds of model uncertainties are not needed. Finally, simulation results demonstrate the efficiency and advantages of the proposed method.
PDF References Citation Report Citation
How to cite this article:

Liu Zhong , Xiao-Geng Liang , Bing-Gang Cao and Jun-Yi cao , 2006. An Optimal Backstepping Design for Blended Aero and Reaction-Jet Missile Autopilot . Journal of Applied Sciences, 6: 2623-2628.

DOI: 10.3923/jas.2006.2623.2628

URL: https://scialert.net/abstract/?doi=jas.2006.2623.2628

COMMENT ON THIS PAPER
 
 
 

 

 
 
 
 
 
 
 
 
 

 
 
 
 
 
 
 

Curve Bottom