Influence Of Perturbation And Interpolation Algorithm On Orbit Prediction Of Spacecraft

With the rapid development of space technology in China,orbit prediction technology is becoming more and more important in space activities such as rendezvous and docking,space debris orbit prediction and space vehicle measurement and control.In the actual space environment,the spacecraft will be affected by various perturbation forces,which will make the spacecraft deviate from the ideal orbit.Therefore,it is very important to study and analyze the influence of various perturbation factors on spacecraft orbit prediction.The premise of the accuracy of orbit prediction is the accurate modeling of spacecraft dynamics.Under the above background,aiming at the complex problem of the influence of perturbation factors,this paper puts forward the analysis of the influence of different kinds of perturbation factors on the orbit of spacecraft at different heights of the earth and the orbit prediction.In order to improve the orbit prediction accuracy and speed of spacecraft,the numerical interpolation method and the improved RBF interpolation method based on RBF neural network are proposed Used for orbit dynamics modeling.The main tasks are as follows:In this paper,the perturbation factors of spacecraft in the process of orbiting around the ground are described in detail.Taking a kind of spacecraft orbit parameters as an example,the mathematical simulation of different perturbation factors is carried out;the characteristic analysis of various perturbation factors is carried out to provide theoretical basis for the influence analysis of perturbation factors.Due to the different influence of the perturbation factors,Runge Kutta integral method is used to calculate the initial orbit parameters of the reference orbit of the spacecraft,and the position error of the orbit prediction of the spacecraft is obtained and analyzed through simulation.The position deviation of spacecraft under different perturbation forces is compared to determine the influence of perturbation factors.In order to improve the efficiency of spacecraft dynamics modeling,the accuracy of the obtained reference orbit is checked by using numerical interpolation method.After obtaining the large step integral orbit,the speed of spacecraft orbit modeling is optimized and improved by comparing the interpolated orbit with the reference orbit.The correctness and validity of several numerical interpolation methods for orbit prediction of spacecraft are studied and analyzed.At the same time,the sampling time is extended to verify the adaptability of numerical interpolation method for orbit modeling of spacecraft.In order to improve the modeling accuracy of spacecraft dynamics,the interpolation method based on RBF neural network is designed for hybrid modeling of spacecraft orbit.Under the condition of long sampling time of big data set,the correctness and accuracy of RBF model interpolation method are proved by simulation.By comparing the position error simulation and running time of RBF interpolation orbit and numerical interpolation orbit,the superiority of RBF model interpolation method compared with other numerical interpolation methods is further verified.