Title : 
Robust control approach for re-entry vehicle based on inversion model
         
        
            Author : 
Ma Wen-Tao ; Zhang Qing-Zhen ; Shi Bobo ; Gao Chen
         
        
            Author_Institution : 
Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China
         
        
        
        
        
        
            Abstract : 
The classical linear control method based on small-perturbation theory couldn´t adapt to the complex flight environment and large airspace, strong coupling and nonlinear characteristics of re-entry vehicle. A new robust control method combining fuzzy sliding mode control and nonlinear dynamic inversion is presented. Dynamic inversion controller can approximately decouple the nonlinear plant into three separate one-order linear systems. To eliminate tracking errors caused by dynamic inversion and disturbances, the fuzzy sliding mode controller outputs the input signal needed by dynamic inversion controller. Nonlinear simulation of a control system using MATLAB/SIMULINK shows that the designed controller can provide the excellent tracking performance and robustness of control system.
         
        
            Keywords : 
aerospace control; nonlinear control systems; perturbation techniques; robust control; MATLAB; SIMULINK; classical linear control method; control system; coupling; fuzzy sliding mode control; nonlinear dynamic inversion; nonlinear plant; nonlinear simulation; re-entry vehicle; robust control; small-perturbation theory; tracking errors; Mathematical model; Niobium; Nonlinear dynamical systems; Sliding mode control; Vehicle dynamics; Vehicles; Control System; Fuzzy Sliding Mode Control; Nonlinear Dynamic Inversion; Re-entry Vehicle;
         
        
        
        
            Conference_Titel : 
Control Conference (CCC), 2010 29th Chinese
         
        
            Conference_Location : 
Beijing
         
        
            Print_ISBN : 
978-1-4244-6263-6