Open Access
ABSTRACT
Robust Formation Design for the Magnetospheric Multiscale Mission using a Stochastic Optimization Approach
The International Conference on Computational & Experimental Engineering and Sciences 2011, 20(1), 17-18. https://doi.org/10.3970/icces.2011.020.017
Abstract
A stochastic optimization approach is used to design a tetrahedral spacecraft formation for the NASA Magnetospheric Multiscale (MMS) mission whose performance characteristics are robust with respect to differential semimajor axis errors. The MMS mission requires a formation of four satellites which is to form a nearly regular tetrahedron near apogee of a highly eccentric orbit, and is to remain in this configuration throughout as many successive orbits as possible without maintenance maneuvers. When all design parameters are deterministic, such a formation can be designed by maximizing a "quality factor" throughout a "region of interest," either over multiple orbits or over a single orbit with an additional constraint to ensure long-term stability. However, inaccurate maneuvers and navigation systems introduce errors in the design parameters; in particular, differential semimajor axis errors greatly degrade formation lifetimes when a deterministic optimization approach is used. The stochastic optimization approach instead maximizes the expected value of the quality factor using the estimated probability distribution of the semimajor axis errors, and produces formations which are less sensitive to these errors at the cost of a reduction in performance in the nominal case.Cite This Article
APA Style
Roscoe, C.W.T., Vadali, S.R., Alfriend, K.T. (2011). Robust formation design for the magnetospheric multiscale mission using a stochastic optimization approach. The International Conference on Computational & Experimental Engineering and Sciences, 20(1), 17-18. https://doi.org/10.3970/icces.2011.020.017
Vancouver Style
Roscoe CWT, Vadali SR, Alfriend KT. Robust formation design for the magnetospheric multiscale mission using a stochastic optimization approach. Int Conf Comput Exp Eng Sciences . 2011;20(1):17-18 https://doi.org/10.3970/icces.2011.020.017
IEEE Style
C.W.T. Roscoe, S.R. Vadali, and K.T. Alfriend, “Robust Formation Design for the Magnetospheric Multiscale Mission using a Stochastic Optimization Approach,” Int. Conf. Comput. Exp. Eng. Sciences , vol. 20, no. 1, pp. 17-18, 2011. https://doi.org/10.3970/icces.2011.020.017
Copyright © 2011 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.