Intelligent attitude planning algorithm based on the characteristics of low radar cross section characteristics of microsatellites under complex constraints

Abstract

The attitude optimization problem of spacecraft under restricted conditions is an important issue of spacecraft planning control. This paper aims at on-orbit microsatellites, which is based on the directional characteristics of their own low radar cross section designs, maintaining low detection probabilities for ground, sea, and space-based detection systems, and simultaneously satisfying the constraint conditions of complex attitude constraints. In this paper, an improved pigeon-inspired optimization algorithm and a nonredundant attitude description method—modified Rodrigues parameters—are used to solve the problem of attitude optimal planning for satellites under complex constraints. This paper focuses on the core evolution mathematical model of the pigeon-inspired optimization algorithm based on the modified Rodrigues parameter, the iterative evolution process of the individual in the pigeon population, and the fitness function model of the individual at different positions. The comparison between the classical pigeon-inspired optimization algorithm and the improved pigeon-inspired optimization algorithm is made in the planned result and resource occupancy, respectively. The simulation results show that the improved algorithm has a faster convergence speed and a smoother optimization result than the classic pigeon-inspired optimization algorithm, where it greatly reduces the computational load and reduces the load of the control system, thus achieving an optimal algorithm.

Keywords

Attitude planning complex constraint conditions low radar cross section characteristics pigeon-inspired optimization algorithm modified Rodrigues parameter

Get full access to this article

View all access options for this article.

References

Cao

. New Development of the United States space surveillance system. Aerosp China 2010; 4: 32–35.

Huo

Peng

. Direction and implication of the development of the U.S. Anti-Satellite Weapons. Natl Defens Sci Technol 2013; 34: 22–26.

Kang

. Research and analysis on development of US Space Based Surveillance System. Spacecraft Eng 2008; 17: 76–82.

Qiao

Wang

Cong

. Analysis on space based and ground based surveillance system to space target. Optic Techniq 2006; 32: 744–749.

Zhou

. Flight attitude planning for low observable micro-satellite shields. Acta Aeronaut Astronaut Sin 2011; 32: 720–728.

Singh G, Macala G, Edward C, et al. A constraint monitor algorithm for the Cassini spacecraft. In: Proceedings of AAIA guidance, navigation and control conference, Washington D.C., USA, 1997, pp.272–282.

McInnes

. Large angle slew maneuvers with autonomous sun vector avoidance. J Guid Control Dyn 1994; 17: 875–877.

Avanzini

Radice

Ali

. Potential approach for constrained autonomous of a spacecraft equipped with a cluster of control moment gyroscopes. Proc IMechE, Part G: J Aerospace Engineering 2009; 223: 285–296.

Kim

Mesbahi

. Quadratically constrained attitude control via semidefinite programming. IEEE Trans Autom Control 2004; 49: 731–735.

10.

Zhou

. Real-time attitude planning for low RCS micro-satellites with limited attitude control ability. Acta Aeronaut Astronaut Sin 2010; 30: 1841–1848.

11.

Wang

Han

. Overview of American Space Fence. Mod Radar 2014; 36: 16–18.

12.

Zhou

Miao

Wang

. Attitude representation using Rodrigues parameter. J Astronaut 2004; 25: 514–519.

13.

Zhao

Qin

Jia

et al.

Research on the modified Rodrigues parameters based attitude algorithm. Meas Control Technol 2009; 28.

14.

Duan

Qiao

. Pigeon-inspired optimization: a new swarm intelligence optimizer for air robot path planning. IJICC 2014; 7: 24–37.

15.

Zhang

Duan

. Gaussian pigeon-inspired optimization approach to orbital spacecraft formation reconfiguration. Chinese J Aeronaut 2015; 28: 200–205.

16.

Duan

. Target detection approach for UAVs via improved pigeon-inspired optimization and edge potential function. Aerosp Sci Technol 2014; 39: 352–360.

17.

Duan

. Three-dimensional path planning for uninhabited combat aerial vehicle based on predator-prey pigeon-inspired optimization in dynamic environment. In: IEEE/ACM Trans Comput Biol Bioinform 2015. DOI: 10.1109/TCBB.2015.2443789.

18.

Sun

Duan

Shi

. Optimal satellite formation reconfiguration based on closed-loop brain storm optimization. IEEE Comput Intell Mag 2013; 8: 39–51.

19.

Zhong

Cui

. Autonomous attitude maneuver planning for spacecraft under complex constraints. Acta Aeronaut Astronaut Sin 2007; 28: 1091–1097.

20.

Ding

Liu

. Dynamic RCS and real-time based analysis of method of UAV route planning. Syst Eng Electron 2008; 30: 867–871.

21.

Zhang

. Satellite orbit attitude dynamics and control, Beijing: Beihang University Press, 1998.