| Autor: |
Prathyush P. Menon, Sohrab Salehi, Emanuele Di Sotto, Wenfei Wang, Declan G. Bates, Nuno M. G. Paulino |
| Rok vydání: |
2010 |
| Předmět: |
|
| Zdroj: |
IFAC Proceedings Volumes. 43:321-326 |
| ISSN: |
1474-6670 |
| DOI: |
10.3182/20100906-5-jp-2022.00055 |
| Popis: |
This paper describes the development and application of optimization-based worst-case analysis methods to the problem of verifying correct functionality of autonomous GNC systems in the terminal rendezvous phase. A number of different hybrid global/local optimisation algorithms based on evolutionary (Genetic Algorithms, Differential Evolution) and deterministic (DIviding RECTantles) approaches are employed to analyze the robustness of a GNC system in the presence of realistic levels of parametric uncertainty in the spacecraft simulation model with respect to a number of specified safety criteria. Parametric sensitivity analyses about the worst-case point in the uncertain parameter space provide additional important insights into the robustness of the autonomous GNC system with respect to the defined uncertainties. The study presents a rigorous comparison of the computational overheads associated with the different optimisation-based methods compared with traditional Monte-Carlo simulation approaches. The results of our study indicate potentially significant advantages for the proposed optimization-based approach when compared with traditional Monte Carlo simulations, in terms of both improved reliability and efficiency. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
