Multicriterion structure/control design for optimal maneuverability and fault tolerance of flexible spacecraft
dc.contributor.author | Taylor, John | en_US |
dc.contributor.author | Ling, Jer | en_US |
dc.contributor.author | Kabamba, Pierre T. | en_US |
dc.date.accessioned | 2006-09-11T15:50:21Z | |
dc.date.available | 2006-09-11T15:50:21Z | |
dc.date.issued | 1994-08 | en_US |
dc.identifier.citation | Ling, J.; Kabamba, P.; Taylor, J.; (1994). "Multicriterion structure/control design for optimal maneuverability and fault tolerance of flexible spacecraft." Journal of Optimization Theory and Applications 82(2): 219-251. <http://hdl.handle.net/2027.42/45242> | en_US |
dc.identifier.issn | 1573-2878 | en_US |
dc.identifier.issn | 0022-3239 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/45242 | |
dc.description.abstract | A multicriterion design problem for optimal maneuverability and fault tolerance of flexible spacecraft is considered. The maneuverability index reflects the time required to perform rest-to-rest attitude maneuvers for a given set of angles, with the postmaneuver spillover within a specified bound. The performance degradation is defined to reflect the maximum possible attitude error after maneuver due to the effect of faults. The fault-tolerant design is to minimize the worst performance degradation from all admissible faults by adjusting the design of the spacecraft. It is assumed that admissible faults can be specified by a vector of real parameters. The multicriterion design for optimal maneuverability and fault tolerance is shown to be well defined, leading to a minimax problem. Analysis for this nonsmooth problem leads to closed-form expressions of the generalized gradient of the performance degradation function with respect to the fault parameters and structural design variables. Necessary and sufficient conditions for the optimum are derived, and the closed-form expressions of the generalized gradients are applied for their interpretation. The bundle method is applicable to this minimax problem. Approximate methods which efficiently solve this minimax problem with relatively little computational difficulties are presented. Numerical examples suggest that it is possible to improve the fault tolerance substantially with relatively little loss in maneuverability. | en_US |
dc.format.extent | 1508448 bytes | |
dc.format.extent | 3115 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Kluwer Academic Publishers-Plenum Publishers; Plenum Publishing Corporation ; Springer Science+Business Media | en_US |
dc.subject.other | Theory of Computation | en_US |
dc.subject.other | Applications of Mathematics | en_US |
dc.subject.other | Optimization | en_US |
dc.subject.other | Optimization | en_US |
dc.subject.other | Operations Research/Decision Theory | en_US |
dc.subject.other | Control | en_US |
dc.subject.other | Structures | en_US |
dc.subject.other | Spacecraft | en_US |
dc.subject.other | Engineering, General | en_US |
dc.subject.other | Optimization | en_US |
dc.subject.other | Fail-safe Design | en_US |
dc.subject.other | Mathematics | en_US |
dc.subject.other | Calculus of Variations and Optimal Control | en_US |
dc.title | Multicriterion structure/control design for optimal maneuverability and fault tolerance of flexible spacecraft | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Mathematics | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Aerospace Engineering Department, University of Michigan, Ann Arbor, Michigan | en_US |
dc.contributor.affiliationum | Aerospace Engineering Department, University of Michigan, Ann Arbor, Michigan | en_US |
dc.contributor.affiliationum | Aerospace Engineering Department, University of Michigan, Ann Arbor, Michigan | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/45242/1/10957_2005_Article_BF02191852.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1007/BF02191852 | en_US |
dc.identifier.source | Journal of Optimization Theory and Applications | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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