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New State Transition Matrices for Spacecraft Relative Motion in Perturbed Orbits
This paper presents new state transition matrices that model the relative motion of two spacecraft in arbitrarily eccentric orbits perturbed by J2 and differential drag for three state definitions ...
New State Transition Matrices for Relative Motion of Spacecraft Formations in Perturbed Orbits
This paper presents new state transition matrices that model the relative motion of two spacecraft in arbitrarily eccentric orbits perturbed by J2 and differential drag for three state definitions… Expand
Linear Models for Spacecraft Relative Motion Perturbed by Solar Radiation Pressure
Many scientific applications require the implementation of spacecraft formation-flying around Earth and other celestial bodies. The control of these formations calls for simple relative dynamics mo...
LONG-TERM ANALYTICAL PROPAGATION OF SATELLITE RELATIVE MOTION IN PERTURBED ORBITS
Many scientific applications require the implementation of satellite formation-flying in various orbits both around Earth and other planetary bodies. The design and guidance of these new formations… Expand
Multi-Objective Autonomous Spacecraft Motion Planning around Near-Earth Asteroids using Machine Learning
- T. Guffanti
A spacecraft (SC) capable to autonomously plan its motion while accounting for conflicting mission objectives in a Pareto optimal way would permit to accomplish complex mission tasks around highly… Expand
Integration Constants as State Variables for Optimal Path Planning
This paper presents a general methodology to model the governing equations-in general non-integrable and nonlinear– using the integration constants of a reduced integrable part and formalizes the optimal path planning problem in integration constant space. Expand
A semianalytical study on the satellite relative perturbed motion modeling in relative orbital elements
- T. Guffanti
- 28 July 2016
Multi-Agent Passive Safe Optimal Control using Integration Constants as State Variables
This paper presents a new algorithm that provides optimal control profiles that drive a multi-agent system to a desired state at a desired time, with the guarantee of no collision, for a specified… Expand