Real-time health monitoring of flight control actuators usually involves the comparison of measured signals either with numerical models or with statistical data. As the external loads experienced by the system influence the operation of most actuators, such loads are a useful quantity to compare with the actuator output and perform onboard fault detection. In common flight controls, the actuator load is not directly available as a measured signal, due to the reliability and complexity penalties often associated to the installation of dedicated sensors and transducers. In this work, we discuss the use of distributed sensing of the airframe strain to infer the aerodynamic loads acting on the flight control actuator. We address a specific sensing technology based on Fiber Bragg Gratings (FBGs) as it combines a good accuracy with minimal invasivity and low complexity. Specifically, we combined a structural and an aerodynamic model to collect a database to train data-driven surrogates intended to map from strain measures to actuator load. Figure 1 displays the information flow of the proposed process.
Actuator Load Estimation From Distributed Optical Sensing of Airframe Deformation / Quattrocchi, Gaetano; Berri, Pier Carlo; Dalla Vedova, Matteo Davide Lorenzo; Maggiore, Paolo. - ELETTRONICO. - (2021), pp. 1554-1560. (Intervento presentato al convegno 31st European Safety and Reliability Conference (ESREL 2021) tenutosi a Angers (France) nel 19 – 23 September 2021) [10.3850/978-981-18-2016-8_564-cd].
Actuator Load Estimation From Distributed Optical Sensing of Airframe Deformation
Quattrocchi, Gaetano;Berri, Pier Carlo;Dalla Vedova, Matteo Davide Lorenzo;Maggiore, Paolo
2021
Abstract
Real-time health monitoring of flight control actuators usually involves the comparison of measured signals either with numerical models or with statistical data. As the external loads experienced by the system influence the operation of most actuators, such loads are a useful quantity to compare with the actuator output and perform onboard fault detection. In common flight controls, the actuator load is not directly available as a measured signal, due to the reliability and complexity penalties often associated to the installation of dedicated sensors and transducers. In this work, we discuss the use of distributed sensing of the airframe strain to infer the aerodynamic loads acting on the flight control actuator. We address a specific sensing technology based on Fiber Bragg Gratings (FBGs) as it combines a good accuracy with minimal invasivity and low complexity. Specifically, we combined a structural and an aerodynamic model to collect a database to train data-driven surrogates intended to map from strain measures to actuator load. Figure 1 displays the information flow of the proposed process.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2962005