Research On Control Technology Of Hypersonic Vehicle Under Uncertainty

For the uncertain factors of hypersonic vehicle,such as the complex model and the drastic change of flight environment and so on,This paper uses data interpolation,curve fitting and precise linearization technology means and methods,etc,to study the four aspects of nonlinear modeling,aerodynamic characteristics analysis,flight process analysis and flight control system design,it improves the global stability of the flight system and the methods of suppressing uncertainty.Firstly,based on the study of hypersonic vehicle model at home and abroad,the flight dynamics and kinematics of hypersonic vehicle system are analyzed,and the nonlinear model of hypersonic vehicle is established.At the same time,a more accurate model of aircraft flight environment and engine is established,which lays the foundation for the establishment of accurate hypersonic vehicle control system.Secondly,the flight process is divided based on different flight tasks and environment.Various constraints are established for take-off climb,cruise and re-entry phase,and the flight corridors in different flight phases are established to ensure the safety of the aircraft in flight.Then,relaxed static stability(RSS)is proposed in this paper to increase the lift coefficient as well as to improve the maneuverability in hypersonic flight,and the numerical value of RSS is obtained on the premise of good maneuverability.It lays the foundation for the realization of the RSS.At the same time,the method of dynamic inverse-PID is designed to improve the stability of subsonic aircraft.The double power sliding mode controller is designed to solve the problem of matched nonlinear uncertainties for hypersonic vehicles,the results show that the control method has excellent control performance and robustness and it can eliminate buffeting effectively.Finally,backstepping sliding mode controller is designed to solve the mismatched nonlinear uncertainties of hypersonic vehicles.By using the nonlinear approximation ability,self-learning ability and the corresponding control structure of recurrent cerebella model articulation controller(RCMAC),backstepping sliding mode controller based on RCMAC is designed to make up for the disadvantages of robustness,the result shows that the controller has good tracking performance and robust performance.