| The essential difference between non cooperative rendezvous and traditional cooperative rendezvous lies in the non-cooperative nature of the target,that is,the target spacecraft can’t provide effective information such as attitude and orbit to the tracking spacecraft during rendezvous.In orbit rendezvous technology of non-cooperative target spacecraft has many military benefits and practical applications,such as military space system in orbit maintenance and capture,space debris removal,space attack and defense,etc.In this paper,the orbit control problem of non-cooperative target spacecraft rendezvous is studied,and a data-driven control algorithm is designed.By making full use of the input and output data in the response process of the control system,an appropria te iterative algorithm is established to solve the control law that meets certain performance requirements.This paper mainly carries out the following three aspects of work :Firstly,the model of Spacecraft Orbit Rendezvous system is established.The nonlinear dynamic model of non-cooperative target spacecraft rendezvous is established,and the CW equation of the linear dynamic model of near circular orbit is given.Then the dynamic model of orbit rendezvous under target maneuver is established.Secondly,the data-driven control algorithm for non-cooperative rendezvous is designed.The micro maneuver of target is regarded as system disturbance,which is transformed into H∞ control problem,which is equivalent to zero sum game problem.The algorithm is designed directly on the nonlinear model,and the model based algorithm for solving HJI(Hamilton-Jacobin-Isaacs,HJI)equation is given.Then the model free algorithm for solving HJI equation is derived,and the convergence of the algorithm is strictly proved.Based on the evaluation control disturbance network,the offline strategy iterative data-driven control is implemented.The simulation results show the effectiveness of the algorithm.Finally,the trajectory control problem of non-cooperative target rendezvous with actuator saturation constraint is studied.The parametric Lyapunov design method is combined with the value iteration method to reduce the parameters γ to make the system not saturated.The value iteration algorithm is designed to solve the parameter Lyapunov equation,and the data-driven algorithm without model dynamics information is obtained.The convergence of the algorithm is strictly proved.The simulation results show that the actuator is not saturated,which verifies the effectiveness of the algorithm. |