Dynamic Inversion Control for Mass Moment Interception Missile Based on Fuzzy Neural Network

As a novel method,mass moment control offers significant advantages over conventional aerodynamic control systems in applications such as the control of missiles at extreme Mach numbers,where the aerodynamic heating can make it impractical to deploy control surfaces.Furthermore,it can meet the demands of the maneuverability and agility of flight vehicles.Based on the constructed model of mass moment interception missile(MMIM),a coupled nonlinear system is presented by rational simplification in this paper.To meet the demands of the robustness of missiles and the co-ordination of the three masses control,based on the two time-scale separation assumption,the dynamics of the MMIM are separated into two parts: the dynamics of fast state and the dynamics of slow state.And then,in order to keep the robust track performance of the system by considering aerodynamic parameter perturbation,flight control system is developed for the two subsystems respectively via utilizing the proposed fuzzy neural network control approach.It can not only control flight overload of the interception missile but also meet a given set of performance indexes by moving the three masses in missiles slightly.