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Proceedings Paper

Resource planning and scheduling of payload for satellite with particle swarm optimization
Author(s): Jian Li; Cheng Wang
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Paper 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.

Paper Details

Date Published: 10 November 2007
PDF: 6 pages
Proc. SPIE 6795, Second International Conference on Space Information Technology, 67951E (10 November 2007); doi: 10.1117/12.773762
Show Author Affiliations
Jian Li, Huazhong Univ. of Science and Technology (China)
Cheng Wang, Huazhong Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 6795:
Second International Conference on Space Information Technology

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