Inverse Control Method of BTT Missle Based on BP Neural Network

A BP neural network applying Levenberg-Marquard lgorithm was used to realize the identification of the inverse dynamic system model of missile.And the system which makes the indentificaiton model and the BTT missle control system are in series was dynamic pseudolinear.Then a method of on-line self-learning control strategy which combines inverse control based on classical control with neural network,was proposed in the system.It is proved theoretically that the method can realize the missle three channel's decoupling control and make tract indistinctively and gradually.The results of simulation show that in the design of BTT missle control system,neural network inversion control method can realize nonlinear control,the control sheme is feaisble and meet the designing requiremnet.