Application of genetic algorithms to state estimation of tethered systems

✍ Scribed by T.A. Lovell

• Book ID: 104267225
• Publisher: Elsevier Science
• Year: 2003
• Tongue: English
• Weight: 197 KB
• Volume: 192
• Category: Article
• ISSN: 0045-7825
• DOI: 10.1016/s0045-7825(03)00202-0

✦ Synopsis

The class of intelligent systems tools known as genetic algorithms is applied to the problem of state estimation, specifically, to predict the orbital dynamics of a tethered satellite system. Emphasis here is placed on cases of tethered motion in which only a short arc of observational data is available. For several example cases of tethered system motion, the performance of a genetic algorithm-based method is compared with that of a conventional differential corrections filtering technique. Measures of comparison include orbit determination accuracy, computational speed, and overall ease of use.