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Aircraft Electrical Model Simulation Identification and Fitting Toolbox

Project description

Assessing electrical system architectures in more electric aircraft

Future more electric aircraft (MEA) can address weight and space limitations by testing, verifying and validating efficient, reliable and cost-effective electrical system architectures. The EU-funded AEMS-IdFit project will enable developers of MEA to assess technologies and evaluate electrical system architectures. The project will develop generic models of aircraft electrical systems to replicate responses to experimental measurements and manufacturers’ design data in various operating conditions. AEMS-IdFit aims to enhance understanding of multiple parameters, allowing for the selection and development of appropriate experimental data, parameter identification, and fitting methods based on their complexity. Ultimately, this project will contribute to a comprehensive understanding of electrical systems in future MEA.

Objective

The AEMS-IdFit (Aircraft Electrical Model Simulation Identification and Fitting Toolbox) project addresses the requirement for developers of future MEA aircraft to select technologies and to test, verify and validate electrical system architectures. The limitations of weight and space are important, so there is a need to test, verify and validate reliable, efficient and cost-effective architectures and a wide range of operating conditions.

The general objective of the AEMS-IdFit project is to adapt and develop generic models of aircraft electrical systems to reproduce the response from experimental measurements and manufacturers design data under different operating conditions, giving a full-representation of electrical systems dynamics. These models are based on the right knowledge of a set of parameters in such a way that, based on experimental data, reliable parameter identification and fitting methods will be selected and developed according to its complexity. Taking into account the wide range of the devices operating conditions, mapping algorithms will be developed as well, in order to generalize the parameter calculation taking into account the dependence of the parameters on the operating conditions. On the other hand, methods to optimize the parameter model updating process will also be developed.

Coordinator

UNIVERSITAT POLITECNICA DE CATALUNYA
Net EU contribution
€ 331 250,00
Address
CALLE JORDI GIRONA 31
08034 Barcelona
Spain

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Region
Este Cataluña Barcelona
Activity type
Higher or Secondary Education Establishments
Links
Total cost
€ 331 250,00