Management decision support algorithm for autonomous spacecraft’s control in the planet’s atmosphere

A new algorithm for making autonomous decisions when controlling spacecraft carrying out descent in the atmosphere is developed, which allows to carry out stable control of the spacecraft relative to the nominal flight trajectories, which provide to reliably fulfill the targets of space missions. Analytical dependences are formed, with the help of which it is possible to obtain high-precision calculations of the parameters of the movement of a spacecraft in the atmosphere and determine corrective programs for controlling the apparatus. This makes it feasible to implement the movement of a spacecraft in the atmosphere along trajectories close to optimal, even under conditions of significant influence of disturbing factors on the dynamics of the flight of the vehicle. The authors give an estimate of the performance of the algorithm for making autonomous decisions on the example of parrying disturbing influences during the descent of a spacecraft in the atmospheres of Mars and Jupiter. It is shown that with complete qualitative agreement between the data calculated using the analytical dependences and the results of numerical integration, the computational errors do not exceed 3%. With the most unfavorable combinations of navigation errors and atmospheric density variations, the development of the corrective control programs developed in most cases ensures a qualitative coincidence of the disturbed and nominal trajectories. The developed algorithm for making autonomous decisions based on analytical dependencies can be effectively applied when a spacecraft moves in planetary atmospheres under various boundary conditions, constraints, design characteristics of the spacecraft and atmosphere models.