Data-driven Attitude Control For Launch Vehicle

Launch vehicle is an important tool for space development in major countries of the world,and plays an irreplaceable role in the development of military,scientific research,agriculture,transportation,communication and other fields.The attitude control system is the key to the launch vehicle and is highly correlated to the flight quality.Considering the launch vehicle,which is a nonlinear system,with complicated conditions and structural disturbances,the controller based on the full form dynamic linearization based model-free adaptive control(FFDL-MFAC)algorithm is proposed.A full format dynamic linearization based model-free adaptive sliding mode control algorithm(FFDLMFASMC)is designed for fault tolerant control of launch vehicle with engine actuator failure.The main researches are as follows.(1)For the vehicle attitude control system,FFDL-MFAC algorithm is used to design the attitude controller,and the virtual reference feedback tuning(VRFT)method is introduced to optimize the parameters of the controller and improve the attitude control performance of launch vehicle.The simulation results demonstrate that the attitude controller based on FFDL-MFAC can achieve stability,and the VRFT method is effective for FFDL-MFAC controller optimization.(2)In order to deal with the failure of attitude actuator of launch vehicle,based on FFDL,combined with the fast response and strong robustness of sliding mode variable structure control,FFDL-MFASMC algorithm is designed.According to the characteristics of the controller and the launch vehicle,a disturbance observer based on sliding mode is designed and model-free adaptive sliding mode control with observer(MFASMO)algorithm is proposed,which is to further improve the fault-tolerant performance of FFDL-MFASMC controller.Through simulation experiments,it is verified that FFDL-MFASMC has better fault tolerance for actuator faults,and the MFASMO can achieve better compensation for parameter estimation errors,external disturbances and faults.(3)Taking the lambda-4s launch vehicle as the simulation platform,the five control algorithms including PID,MFAC and MFAC optimized by VRFT,MFASMC and MFASMO are simulated and compared in different scenes.The simulation results demonstrate that the performance of MFAC controller optimized by VRFT is better than that of the prototype MFAC controller;MFASMC controller has better performance in dealing with actuator failure than PID controller and prototype MFAC controller,and MFASMO controller has obvious compensation effect on parameter estimation error,system interference and actuator failure.