Research On Intelligent Guidance Law And Simulation Of Air-to-air Missile

This thesis mainly works on three-dimensional midcourse guidance law, terminal guidance law, and association of midcourse and terminal guidance, order following control law of air-to-air missile, air-to-ground attack and 3D visual simulation.Firstly, based on singular perturbation control, methods and intelligent neural network methods, the study of the air-to-air guided missile design problems is studied. After presenting the air-to-air missiles model, the typical target motorized model and pursuit and evasion resistance model. Based on the singular perturbation theory, the midcourse guidance control system is divided into two loops, fast loop and slow loop, and respectively designed slow loop optimal controller and fast loop two border controllers for them. Then, singular perturbation optimum middle control laws are got. In addition, taking into account the lack of or loss of objective information during the air-to-air missile's guidance, the neural network guidance law is designed and realized the air-to-air missiles "fire-and-forget" requirements.Secondly, a discussion is devoted to study the 3D terminal guidance law for air-to-air missile. Aim at the condition that most of the targets have maneuvering ability in modern air-combat, a novel 3D terminal guidance law is proposed based on the parallel approach principle and backstepping control method and the adaptive fuzzy controller for error compensation is designed by using fuzzy approximation theory. Simulation results show that the guidance law is effective and has better robustness and adaptability in the situation of target maneuver.Thirdly, the handing-off is taken into account. The main study includes two aspects which are the seeker handing-off and trajectory handing-off. Following, the fairway programming problem of seeker handing-off are solved as follow: ensures estimative intercepting point,hand-off time,optimal navigation tendency and seeker obliquity angle according to the midcourse guidance strategy. After that, design the adaptive trajectory handing-off arithmetic in the procession of handing-off between midcourse and terminal guidance in order to ensure trajectory smooth. The simulation results prove that the scheme of system is feasible.Fourthly, it also does a research on control law. Based on backstepping control theory and neural networks, this part mainly focuses on the angle order following and stability problems of the air-to-air missile system. By the analysis of the floating parameters of the system and model's uncertainty, and the online neural network backstepping control law is designed, the simulation results demonstrate its effectiveness.Finally, based on Windows platform, the three dimension visual simulation of air-to-ground attack is developed using MultiGen Creator and Vega software, which shows the entire process of missile attacking ground target vividly.