Adaptive Block Dynamic Surface Control For BTT Missile Attitude Control System

Missile Autopilot is one of the core foundation of missiles to complete theoperational tasks. The dissertation is focus on the attitude control system modeling,control design and simulation. The main results of this article consists of thefollowing four parts:1. The modeling problem of the attitude control system is considered, which isdivided into two parts: first, The full state coupling control system nominal model;second, The full state coupling control system perturbation model. The maindifference of the two models is that the latter uses the analytical form, controlsystem model is more accurate than the former. Comparing to the former controlsystem design, The latter’s most obstacle lies in the facts that there exist nonlinearparametric unmatched uncertainties in the system;2. This paper studies the atmospheric wind model which is divided into fourparts, including the average wind model, windshear model, gusts model andatmospheric turbulence model. The study mainly investigated the dynamic responseof the missile system in the wind interference and test the effectiveness of controlalgorithm;3. Basing on full state coupling control system nominal model, this paper posethe block adaptive dynamic surface control (BADSC) algorithm to solve nonlineardesign problems with strong time-varying and strong coupling,.theoretically provedthat the system’s all states will eventually uniformly bounded and system outputerror will converge to a small area. The results of6-DOF non-linear numericalsimulation show the proposed control algorithm can quickly and efficiently trackingthe command and system performance a good stability and robustness under theparameter mismatching uncertainty and wind disturbances;4. Basing on full state coupling control system perturbation model, this paperpose improved BADSC algorithm to solve nonlinear robust design problems withunmatched uncertainty. this paper theoretically proved that the stability of theproposed algorithm. The results of numerical simulation verify that the improvedcontrol algorithm have more stability and robustness than the original algorithm inthe same circumstances.