Design And Simulation Of Small Smart Bomb Neural Network Controller And BTT

Based on the SSB (Small Smart Bomb) and the purpose of practical project application, this thesis has studied neural network design method of the nonlinear control theory and explored some related issues on the design of BTT controller for SSB. The main research work of this thesis includes the following aspects:Firstly, based on simplified and reasonable assumption, we build mathematical models of the SSB whole airframe missile by the missile flight mechanics theory. This thesis applies BP network theory of neural network to design the BTT controller of SSB and carries out a detailed simulation that is about the system dynamic performance, robustness and decoupling. The simulation results show that:the designed controller of BP network can complete the basic tasks control of SSB, but there are also drawbacks.Secondly, according to the problem of BP network control and in order to get better control effect, RBF neural network BTT controller is conducted. Meanwhile, there are some system simulation experiments on the dynamic performance, robustness and decoupling. Simulation results show that:the design of RBF neural network controller has good dynamic tracking features, robustness and decoupling performance.Finally, this paper has discussed the software design of the whole system, and the preparation of a complete system of C program. The relevant simulation experiments have been done. The simulation results show that:the designed control system on the VC++platform is still valid.This paper has studied the SSB neural network BTT controller design method. The numerical simulation results show that the control system has good control effect, and can provide a reference for engineering applications.