Study On Intelligent Control Of Super-Maneuver Flight And Semi-Physical Distributed Simulation Platform Of The Fourth Generation Fighter

This thesis works mainly on the problem of intelligent control method of super-maneuver flight of the fourth generation fighter and the implementation of semi-physical real-time distributed simulation platform for the flight control system.With a brief review of the development history of fighter and detail discussion of main technique features of 4th generation fighter, this thesis brings forward the research topic of super-maneuver flight control and analyses the latest study status. Then a mathematical model is presented, which is based on the features of super-maneuver aircraft. By discussing the application of dynamic inversion theory to nonlinear flight control, which would be vulnerable to unmodeled dynamics and uncertain nonlinearities, this thesis presents a neural network control scheme which is based on dynamic inversion. In succession, the adaptive control law of on-line neural network is discussed at great length. By means of neural network controller, simulation based on high angle maneuver is given which shows the potential of this kind of neural network as nonlinear adaptive controller in flight control.The semi-physical real-time distributed simulation platform based on local network is developed in this thesis. First a distributed digital simulation platform with friendly interfaces is developed using Visual C++. This platform implements the combination of 3D animation and real-time calculation. Besides detail presentation of the network programming technique, the 3D engineer principle of OpenGL and its application to 3D animation is also discussed. Furthermore, a Two-Axis Movement Control System used as the analog of actuator is introduced at length, then the semi-physical simulation platform is constructed. Lastly the semi-physical simulation results of high angle maneuver are presented.