Spacecrafts' Control Systems Effective Variants Choice with Self-configuring Genetic Algorithm

Eugene Semenkin, Maria Semenkina

2012

Abstract

The work of the spacecraft control system is modeled with Markov chains. Small and large models for the technological and command-programming control contours are developed. The way of the calculation of the control contour effectiveness indicators is described. Special self-configuring genetic algorithm that requires no settings determination and parameter tuning is proposed for choosing effective variants of spacecraft control system. The high performance of the suggested algorithm is demonstrated through experiments with test problems and then is validated by the solving hard optimization problems.

Paper Citation

in Harvard Style

Semenkin E. and Semenkina M. (2012). Spacecrafts' Control Systems Effective Variants Choice with Self-configuring Genetic Algorithm . In Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-8565-21-1, pages 84-93. DOI: 10.5220/0004042200840093

in Bibtex Style

@conference{icinco12,
author={Eugene Semenkin and Maria Semenkina},
title={Spacecrafts' Control Systems Effective Variants Choice with Self-configuring Genetic Algorithm },
booktitle={Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2012},
pages={84-93},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004042200840093},
isbn={978-989-8565-21-1},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Spacecrafts' Control Systems Effective Variants Choice with Self-configuring Genetic Algorithm
SN - 978-989-8565-21-1
AU - Semenkin E.
AU - Semenkina M.
PY - 2012
SP - 84
EP - 93
DO - 10.5220/0004042200840093