Constrained Optimal Flyby Guidance Algorithm by Iterative Two-Stage Stochastic Programming. Issue 3 (1st May 2017) - Ozaki, Naoya
Abstract : Interplanetary micro-spacecraft have been recently demonstrated for various missions. Orbital control of micro-spacecraft is challenging because the spacecraft systems have severe constraints. This paper presents a constrained optimal flyby guidance algorithm. We iteratively introduce two-stage stochastic programming and achieve rapid and global optimization by using delta-v mappings and cross-correlation technique, which is well-known in the field of image and signal processing. Finally, numerical examples and Monte-Carlo simulation show that the proposed algorithm is efficient in terms of the expected total delta-v.