A Direct Optimization Based Tool to Determine Orbit-Raising Trajectories to GEO for All-Electric Telecommunication Satellites

In this paper, we consider the development of an optimization solver that provides optimal low-thrust trajectories to the Geostationary Orbit, starting from an arbitrary orbit into which the satellite has been injected by an appropriate launch vehicle. Based on a direct optimization methodology, we formulate a minimum-time orbit-raising problem and use solvers like IPOPT and LOQO to solve the resulting non-linear programming problem. The tool allows for consideration of on-board energy storage system that helps the satellite to thrust in the Earth’s shadow during an eclipse. Furthermore, the tool allows for the investigation of new scenarios from the point of view of reducing radiation damage incurred by the satellite during its transit through the Van Allen belt. For instance, we consider the case in which the satellite starting from an inclined orbit, delays any out-of-plane maneuvers until it crosses the inner Van Allen belt. The tool enables us to analyze electric orbit-raising scenarios for a variety of injection orbits and different technology alternatives (electric engines, on-board energy storage). We illustrate with numerical examples the usage of the developed tool for different orbit-raising examples. The development of this solver is a first-step towards an elaborate study of new mission scenarios for all-electric telecommunication satellites.

[1]  Vit Babuska,et al.  Repositioning of geostationary spacecraft - Chemical and electric propulsion options , 1996 .

[2]  A. J. Kelly,et al.  Mass savings domain of plasma propulsion for LEO to GEO transfer , 1993 .

[3]  Richard Hofer High-Specific Impulse Operation of the BPT-4000 Hall Thruster for NASA Science Missions , 2010 .

[4]  M. Kim,et al.  Continuous Low-Thrust Trajectory Optimization: Techniques and Applications , 2005 .

[5]  Jean Albert Kechichian,et al.  Low-Thrust Inclination Control in Presence of Earth Shadow , 1998 .

[6]  Leonardo Biagioni EVOLUTIONARY OPTIMIZATION OF LAUNCH VEHICLE/ELECTRIC PROPULSION INTEGRATION FOR GEO MISSIONS , 2000 .

[7]  Richard Epenoy,et al.  OPTIMAL CONTROL FOR ENGINES WITH ELECTRO-IONIC PROPULSION UNDER CONSTRAINT OF ECLIPSE , 2001 .

[8]  Edgar Y. Choueiri,et al.  Lorentz force accelerator with an open-ended lithium heat pipe , 1996 .

[9]  Brian W. Kernighan,et al.  AMPL: A Modeling Language for Mathematical Programming , 1993 .

[10]  Christopher D. Hall,et al.  Application of Energy Storage to Solar Electric Propulsion Orbital Transfer , 2000 .

[11]  Jean Albert Kechichian,et al.  Low-Thrust Eccentricity-Constrained Orbit Raising , 1998 .

[12]  Jean Albert Kechichian Orbit Raising with Low-Thrust Tangential Acceleration in Presence of Earth Shadow , 1991 .

[13]  R. Cassady,et al.  Repositioning mission benefits comparison for near-term electric propulsion technology , 1994 .

[14]  John Dankanich,et al.  Geosynchronous-Earth-Orbit Communication Satellite Deliveries with Integrated Electric Propulsion , 2008 .

[15]  M. Martinez-Sanchez,et al.  Spacecraft Electric Propulsion—An Overview , 1998 .

[16]  Jean-Michel Sannino,et al.  Ariane 5-ME and Electric Propulsion: GEO Insertion Options , 2011 .

[17]  Alissa Fitzgerald Impact of energy storage system mass on the performance of orbit transfer vehicles using solar electric propulsion , 1994 .

[18]  G. A. Flandro Asymptotic solution for solar electric low thrust orbit raising with eclipse penalty , 1974 .

[19]  R. Vanderbei LOQO:an interior point code for quadratic programming , 1999 .

[20]  Bruce A. Conway,et al.  Spacecraft Trajectory Optimization: Contents , 2010 .

[21]  Lorenz T. Biegler,et al.  On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming , 2006, Math. Program..