SAAB 340B aerodynamic model development using binary particle swarm optimization

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dc.contributor.authorMillidere, Murat
dc.contributor.authorAlam, Mushfiqul
dc.contributor.authorPlace, Simon
dc.contributor.authorWhidborne, James
dc.date.accessioned2024-06-11T14:16:21Z
dc.date.available2024-06-11T14:16:21Z
dc.date.issued2024-01-04
dc.description.abstracthis paper follows-up previous work on the development of a high-fidelity Saab 340B aerodynamic model using system identification methods. In the prior work, Saab 340B flight tests were carried out using different excitations on the control surfaces. The flight test data was collected at predefined trim points. Thrust forces and moment were obtained using the propeller efficiency map provided by the manufacturer. The equation and output error methods were employed to analyse flight test data to estimate aerodynamic parameters in the time domain. This paper follows-up previous work on the development of a high-fidelity Saab 340B aerodynamic model using system identification methods. In the prior work, Saab 340B flight tests were carried out using different excitations on the control surfaces. The flight test data was collected at predefined trim points. Thrust forces and moment were obtained using the propeller efficiency map provided by the manufacturer. The equation and output error methods were employed to analyse flight test data to estimate aerodynamic parameters in the time domain. The paper extends the work to select independent variables in the equation error method in an optimal way using binary particle swarm to determine the best subset of independent variables. The impact of the hyperparameters of the binary PSO approach such as the transfer function scheme, inertia weight updating strategy, and the value of acceleration coefficients is investigated.en_UK
dc.description.sponsorshipThis research was funded by the UK Research and Innovation under the Powerplant Integration of Novel Engine Systems (PINES) project (Rolls-Royce).en_UK
dc.identifier.citationMillidere M, Alam M, Place S, Whidborne J. (2024) SAAB 340B aerodynamic model development using binary particle swarm optimization. In: AIAA SCITECH 2024 Forum, 8-12 January 2024, Orlando, USA. Paper number AIAA 2024-1495en_UK
dc.identifier.eisbn978-1-62410-711-5
dc.identifier.urihttps://doi.org/10.2514/6.2024-1495
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/22451
dc.language.isoen_UKen_UK
dc.publisherAIAAen_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleSAAB 340B aerodynamic model development using binary particle swarm optimizationen_UK
dc.title.alternativeAerodynamic modelling of Saab 340B development using binary particle swarm optimizationen_UK
dc.typeConference paperen_UK

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