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Erschienen in:
2023 | OriginalPaper | Buchkapitel
An Adaptive Impedance Matching Network for Ultrasonic De-icing
verfasst von : Leandro Maio, Raffaele Piscopo, Fabrizio Ricci
Erschienen in: European Workshop on Structural Health Monitoring
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Abstract
Icing causes degradation of the flight performance, especially for Unmanned Aerial Vehicles (UAVs) due to lower Reynolds flight number. The necessity of a low power de-icing system is crucial for electric powered UAVs with limited energy reserves. In order to improve the efficiency of an ultrasonic de-icing system, in this work an adaptive impedance matching network is proposed. Such a system autonomously evaluates the electro-mechanical impedance of the structure to be protected by ultrasound and on which actuators are distributed. Afterwards, it finds the best configuration to minimize the reflected power when the transducers are excited at the selected working frequency. Preliminary results for a single actuator are discussed to demonstrate the system effectiveness.