Research On The Mathematical Models And System Simulation Of Air-To-Ground Missile

Over the past decades, computer modeling and simulation technology, have made a great advantage on different theories and methods, and been widely applied to the missile-weapon system design and manufacture. The benefits of computer simulation based on mathematical models, partly or even completely instead of physical models, are well understood: higher work efficiency, shorter developed cycle, lower cost and more safety. As simulation technology is applied more deeply during design and manufacturing processes of missiles, more precise models of missiles are required.According to the requirements of real-time simulation, this thesis build the independent models of missile weapon systems for numerical simulation considering the independence and coupled relations of physical subsystems or parts and try to reduce the coupled degree. The main content of this thesis include:Firstly, the missile weapon systems are divided into several subsystems according to function, and the interface protocols between subsystems. And then the structure of the whole system is constructed.Consequently, computational models of all subsystems are constructed, such as the Strapdown Inertial Navigation System(SINS), the control loop applied in self-control period, the guidance system by applying the technology of television (TV) guidance and the guidance law of proportion navigation, the autopilot by applying the technology of overload control in terminal control period, and so on. Then based on them, simulation models are constructed.Finally, subsystem simulation models of missile are integrated as a whole system simulation model, and the system simulation model is analyzed in the end.The work of this thesis has practical significance and applied perspective in simulation of missile weapon system. Utilizing the experimental data of missile, we can construct high fidelity model in the simulation of missile weapon system based on the work of this thesis. So the experimental times and cost can be reduced, and the design and manufacturing period can be compressed significantly.