Title :
Disturbance observer based model predictive control for autopilot design of bank-to-turn missiles
Author :
Yang, Jun ; Li, Shihua
Author_Institution :
Sch. of Autom., Southeast Univ., Nanjing, China
Abstract :
The attitude control performance of the bank-to-turn (BTT) missiles are severely interrupted by heavy nonlinear crossing couplings, time-varying aerodynamic parameters, and external disturbances. A distributed composite control framework consisting of a high-level model predictive control, a low-level state feedback stabilizer, and a feedforward compensation based on disturbance observer is proposed in this article for the BTT missile autopilot design. The simulation results demonstrate that the proposed control strategy exhibits promising abilities against external disturbances, nonlinear crossing couplings and aerodynamic parameter perturbations.
Keywords :
attitude control; compensation; control system synthesis; distributed parameter systems; feedforward; missile control; observers; predictive control; stability; state feedback; BTT missile autopilot design; aerodynamic parameter perturbations; attitude control performance; bank-to-turn missiles; distributed composite control framework; disturbance observer; external disturbances; feedforward compensation; high-level model predictive control; low-level state feedback stabilizer; nonlinear crossing couplings; time-varying aerodynamic parameters; Aerodynamics; Couplings; Feedforward neural networks; Missiles; Observers; State feedback; Uncertainty; Autopilot Design; Bank-to-Turn Missiles; Disturbance Observer; Model Predictive Control;
Conference_Titel :
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4577-2073-4
DOI :
10.1109/CCDC.2012.6243029