Title :
The robust adaptive dynamic surface controller design for BTT missile
Author :
Tang Zhili ; Zhu Yongwen
Author_Institution :
Radar & EW Inst. of EAAF, Beijing, China
Abstract :
A RBF network based adaptive dynamic surface controller was developed for a class of uncertain MIMO pure-feedback systems. Because of the uncertainty of the i-th subsystem is depends on the state of the previous i+1 subsystems, RBF network was introduced to compensate the uncertainty on-line in order to reduce the controlling conservation, A second order sliding mode filter was introduced to produced the derivate of virtual control signal in design proceed, this resolved the `term explode´ that existed in conventional backstepping design, and made the controller more natty and easier to implement. At last, an adaptive dynamic surface controller was designed for a nonlinear BTT missile dynamic and simulation result was demonstrated the control system has good performance.
Keywords :
MIMO systems; adaptive control; compensation; control system synthesis; feedback; missile control; neurocontrollers; radial basis function networks; robust control; uncertain systems; variable structure systems; BTT missile; RBF network; backstepping design; compensation; control system; controlling conservation reduction; multiple-input multiple-output systems; radial basis function network; robust adaptive dynamic surface controller design; second order sliding mode filter; term explode; uncertain MIMO pure-feedback systems; virtual control signal; Adaptive systems; MIMO; Missiles; Nonlinear dynamical systems; Radial basis function networks; Robustness; Uncertainty; 2-order sliding mode filter; BTT missile; RBF network; Uncertain pure-feedback system; robust dynamic surface control;
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
Conference_Location :
Xi´an