Article
Immunity-based flight envelope prediction at post-failure conditions
Aerospace Science and Technology
(2015)
Abstract
This paper presents the development of a biologically-inspired methodology for flight envelope prediction at post failure conditions. The flight envelope is understood in its most general meaning as the hyper-space of all achievable or desirable relevant variables. The new ranges of these variables at post-failure conditions are the outcomes of the prediction process. Specific algorithms are proposed depending on the affected sub-system and the nature and characteristics of the failure. Actuator, sensor, propulsion system, and structural failures are considered. The proposed methodology is integrated with immunity-based failure detection and identification and benefits from the capabilities of the artificial immune system to address directly the complexity and multi-dimensionality of aircraft dynamic response in the context of abnormal conditions. A hierarchical multi-self strategy is used, in which low-dimensional projections replace the hyperspace of the self thus avoiding numerical and conceptual issues related to the high-dimensionality of the problem. The methodology is illustrated through numerical examples of envelope prediction under elevator locked failure, yaw rate sensor bias, locked throttle, and partially missing horizontal tail.
Keywords
- Artificial Immune System,
- Fault Tolerant Control,
- Structural Damage Evaluation
Publication Date
January 10, 2015
DOI
https://doi.org/10.1016/j.ast.2015.07.014
Citation Information
Mario George Perhinschi, Dia Al Azzawi, Hever Moncayo, Adil Togayev, et al.. "Immunity-based flight envelope prediction at post-failure conditions" Aerospace Science and Technology Vol. 46 (2015) p. 264 - 272 Available at: http://works.bepress.com/hever_moncayo/63/