Systems Engineering and Electronics ›› 2021, Vol. 43 ›› Issue (1): 199-207.doi: 10.3969/j.issn.1001-506X.2021.01.24

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Optimal control method for low thrust deorbit of the low earth orbit satellite based on ALPSO algorithm

Jiuyang LI(), Min HU(), Xuyu WANG(), Jiahui XU(), Feifei LI()   

  1. School of Space Command, Space Engineering University, Beijing 101416, China
  • Received:2020-03-25 Online:2020-12-25 Published:2020-12-30

Abstract:

The low earth orbit satellite needs to deorbit within a certain period of time after reaching their lifetime, while satellite with orbit height above 800 km is difficult to deorbit under natural conditions. In order to make the satellite deorbit within a specified time, an optimal control algorithm for low thrust deorbit of the low earth orbit satellite based on the augmented Lagrangian particle swarm optimization (ALPSO) algorithm is proposed. Firstly, the perturbation equation is listed according to the characteristics of low thrust, and the Hamilton equation is used to acquire the optimal control rate with co-state parameters. Then, the particle swarm algorithm and the augmented Lagrangian method are expounded respectively, and the algorithm flow is obtained accordingly. Finally, it is compared with the optimization results of the genetic algorithm. The results show that the ALPSO algorithm has fewer iterations and higher convergence accuracy. The first disposal orbit with reduced orbit altitude is suitable for satellite deorbit with an orbit altitude of 821 km, and the deorbit time is 857 days. The algorithm can be applied to solve the low thrust deorbit problem of the low earth orbit satellite.

Key words: low earth orbit satellite, low thrust deorbit, particle swarm optimal algorithm, optimal control

CLC Number: 

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