Mission planning optimization for the visual inspection of multiple geosynchronous satellites

In this article, a new manoeuvring strategy for the multiple geosynchronous satellites inspection problem is proposed. In contrast to previous research, it can be used to visit multiple geosynchronous satellites orbiting in different orbital planes in an economical way. In the proposed mission scenario, several chasers are initially placed in an equatorial high eccentric orbit. Two orbital manoeuvres are exerted at perigee to adjust the apogee of the chaser for every inspection. Subsequently, the targets will be visited when they fly through the ascending or descending nodes of their orbits. Based on the proposed strategy, a two-level optimization approach is developed to optimize visitation order and time regarding fuel consumption. Meanwhile, the manoeuvre velocity and time are determined. Finally, the proposed method is applied to several numerical test cases to demonstrate its validity for mission planning optimization for the visual inspection of multiple geosynchronous satellites.

[1]  R. Battin.  An introduction to the mathematics and methods of astrodynamics , 1987 .

[2]  Phil Palmer,et al.  Relative attitude dynamics and control for a satellite inspection mission , 2012 .

[3]  David K. Geller.  Analysis of the relative attitude estimation and control problem for satellite inspection and orbital rendezvous , 2007 .

[4]  David L. Akin,et al.  A SURVEY OF SERVICEABLE SPACECRAFT FAILURES , 2001 .

[5]  Samuel H. Brooks.  A Discussion of Random Methods for Seeking Maxima , 1958 .

[6]  Howard D. Curtis,et al.  Orbital Mechanics for Engineering Students , 2005 .

[7]  B. Jackson,et al.  Minimum energy maneuvering strategies for multiple satellite inspection missions , 2005, 2005 IEEE Aerospace Conference.

[8]  Zhu Yanwei.  Mission planning for multiple GEO satellite proximity inspection , 2011 .

[9]  Xu Bo,et al.  Research on constellation refueling based on formation flying , 2011 .

[10]  Ye Yan,et al.  Space-based line-of-sight tracking control of GEO target using nonsingular terminal sliding mode , 2014 .

[11]  Chen Xiaoqian.  Mission Programming of On-Orbit Refueling for Geosynchronous Satellites , 2010 .

[12]  Atri Dutta,et al.  Peer-to-Peer Refueling Strategy Using Low-Thrust Propulsion , 2010 .

[13]  Liu Yu.  The Status and Prospect of Orbital Servicing in the Geostationary Orbit , 2010 .

[14]  Panagiotis Tsiotras,et al.  Peer-to-Peer Refueling for Circular Satellite Constellations , 2005 .

[15]  Goldberg,et al.  Genetic algorithms , 1993, Robust Control Systems with Genetic Algorithms.

[16]  Guo-Jin Tang,et al.  Optimization of perturbed and constrained fuel-optimal impulsive rendezvous using a hybrid approach , 2006 .

[17]  Daniel E. Hastings,et al.  Flexibility and the value of on-orbit servicing: New customer-centric perspective , 2003 .

[18]  Daniel E. Hastings,et al.  Agent Model of On-Orbit Servicing Based on Orbital Transfers , 2007 .

[19]  Daniel E. Hastings,et al.  On-Orbit Servicing: A New Value Proposition for Satellite Design and Operation , 2007 .

[20]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[21]  Tang Guo-jin.  Research on Orbit Transfer of High Eccentric Orbit of Optical Imaging Satellite for GEO Satellite , 2009 .

[22]  R. C. White.  A survey of random methods for parameter optimization , 1971 .

[23]  Bruce A. Conway,et al.  A Survey of Methods Available for the Numerical Optimization of Continuous Dynamic Systems , 2011, Journal of Optimization Theory and Applications.

[24]  Guo-Jin Tang,et al.  Hybrid planning for LEO long-duration multi-spacecraft rendezvous mission , 2012 .

[25]  David B. Spencer,et al.  Optimal Spacecraft Rendezvous Using Genetic Algorithms , 2002 .

[26]  K. Alfriend,et al.  Optimal Servicing of Geosynchronous Satellites , 2002 .