Onboard autonomous mission re-planning for multi-satellite system

Zheng, Z.; Guo, J.; Gill, E.K.A.

doi:10.1016/j.actaastro.2018.01.017

Onboard autonomous mission re-planning for multi-satellite system

Title

Onboard autonomous mission re-planning for multi-satellite system

Author

Zheng, Z. (TU Delft Space Systems Egineering)
Guo, J. (TU Delft Space Systems Egineering)
Gill, E.K.A. (TU Delft Space Engineering; TU Delft Space Systems Egineering)

Department

Space Engineering

Date

2018-04-01

Abstract

This paper presents an onboard autonomous mission re-planning system for Multi-Satellites System (MSS) to perform onboard re-planing in disruptive situations. The proposed re-planning system can deal with different potential emergency situations. This paper uses Multi-Objective Hybrid Dynamic Mutation Genetic Algorithm (MO-HDM GA) combined with re-planning techniques as the core algorithm. The Cyclically Re-planning Method (CRM) and the Near Real-time Re-planning Method (NRRM) are developed to meet different mission requirements. Simulations results show that both methods can provide feasible re-planning sequences under unforeseen situations. The comparisons illustrate that using the CRM is average 20% faster than the NRRM on computation time. However, by using the NRRM more raw data can be observed and transmitted than using the CRM within the same period. The usability of this onboard re-planning system is not limited to multi-satellite system. Other mission planning and re-planning problems related to autonomous multiple vehicles with similar demands are also applicable.

Subject

Mission re-planning
Multi-objective genetic algorithm
Multi-satellite system
Onboard autonomy

To reference this document use:

http://resolver.tudelft.nl/uuid:79605b48-212c-4c4c-98d7-3bee4f71c3c2

DOI

https://doi.org/10.1016/j.actaastro.2018.01.017

Embargo date

2020-02-02

ISSN

0094-5765

Source

Acta Astronautica, 145, 28-43