Resource planning and scheduling of payload for satellite with particle swarm optimization

Jian Li; Cheng Wang

doi:10.1117/12.773762

10 November 2007 Resource planning and scheduling of payload for satellite with particle swarm optimization

Jian Li, Cheng Wang

Proceedings Volume 6795, Second International Conference on Space Information Technology; 67951E (2007) https://doi.org/10.1117/12.773762
Event: Second International Conference on Spatial Information Technology, 2007, Wuhan, China

Abstract

The resource planning and scheduling technology of payload is a key technology to realize an automated control for earth observing satellite with limited resources on satellite, which is implemented to arrange the works states of various payloads to carry out missions by optimizing the scheme of the resources. The scheduling task is a difficult constraint optimization problem with various and mutative requests and constraints. Based on the analysis of the satellite's functions and the payload's resource constraints, a proactive planning and scheduling strategy based on the availability of consumable and replenishable resources in time-order is introduced along with dividing the planning and scheduling period to several pieces. A particle swarm optimization algorithm is proposed to address the problem with an adaptive mutation operator selection, where the swarm is divided into groups with different probabilities to employ various mutation operators viz., differential evolution, Gaussian and random mutation operators. The probabilities are adjusted adaptively by comparing the effectiveness of the groups to select a proper operator. The simulation results have shown the feasibility and effectiveness of the method.

Citation Download Citation

Jian Li and Cheng Wang "Resource planning and scheduling of payload for satellite with particle swarm optimization", Proc. SPIE 6795, Second International Conference on Space Information Technology, 67951E (10 November 2007); https://doi.org/10.1117/12.773762

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available