Air-to-Air Missile Robust Adaptive Guidance Law And Scene Simulation Research

This thesis makes a widespread thorough research on air-to-air missile guidance law and control law. Besides, it makes a scene simulation research on the process of air-to-air missile attacking a target.Firstly, this thesis introduces the disadvantage of proportion guidance law while the target maneuvers. A sliding mode guidance law is found out allowing for highly maneuverable target.Secondly, a 3-D adaptive fuzzy sliding mode guidance law for air-to-air missile is proposed. The method has solved the problem of chattering existing in common sliding mode control. The air-to-air missile model is approximated by fuzzy system on the condition that the precise nonlinear model isn't required. The adaptive parameters of fuzzy system are designed by application of Lyapunov method.Thirdly, a variable structure guidance law based on adaptive neural networks disturbance observer is proposed. Owing to the ability of the neural networks approximating nonlinear system the disturbance observer monitors a total disturbance well, including internal uncertainty and external disturbance. The parameters of neural networks are tuned by adaptive method. By application of Lyapunov method the disturbance observer and the control system are testified.Fourthly, On the basis of missile six degrees of freedom equation of state, the sliding mode method is used to design air-to-air missile basic control law.Finally, this thesis introduces Creator and Vega.A scene simulation software is developed to vividly show the process of air-to-air missile attacking target.