Francesco Battaglia
Metaheuristic algorithms for prognostics of on-board electromechanical actuators.
Rel. Matteo Davide Lorenzo Dalla Vedova, Paolo Maggiore, Leonardo Baldo, Gaetano Quattrocchi. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Aerospaziale, 2023
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Abstract: |
In recent times the aerospace sector has been going through a deep and significant technological evolution. The main manufacturers are moving towards a new design philosophy: the More Electric Aircraft. The goal is to electrify all the utilities and sub-systems of the aircraft driven by a series of advantages such as, for example, an increase in engine efficiency, a reduction in overall weight, better maintainability, lower operating costs and an alignment with stringent environmental requirements. The development of fully electric flight controls plays a very important role in this design concept. Currently, however, electromechanical actuators are used only in secondary flight controls due to a poor knowledge of failure modes. An unscrupulous use of redundancies would nullify the advantages listed above. The aim of this work will be to identify and study a new prognostic method of these failures, using Bio-inspired metaheuristic optimization algorithms, which can lead us to safety levels at least equal to the current hydraulic system. To do this we will initially simulate in the Matlab-Simulink environment the response of an electromechanical actuator model subject to the imposed failure, then with a second simplified model, thanks to the chosen algorithms, we will try to recreate the response generated by the first. |
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Relators: | Matteo Davide Lorenzo Dalla Vedova, Paolo Maggiore, Leonardo Baldo, Gaetano Quattrocchi |
Academic year: | 2023/24 |
Publication type: | Electronic |
Number of Pages: | 122 |
Subjects: | |
Corso di laurea: | Corso di laurea magistrale in Ingegneria Aerospaziale |
Classe di laurea: | New organization > Master science > LM-20 - AEROSPATIAL AND ASTRONAUTIC ENGINEERING |
Aziende collaboratrici: | UNSPECIFIED |
URI: | http://webthesis.biblio.polito.it/id/eprint/28855 |
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