Aerodynamic Modeling using Neuro-Fuzzy for a scaled model of Cessna 182

• Ano de defesa: 2019
• Autor(a) principal: Sant'Ana, Vitor Taha
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: eng
• Instituição de defesa: Universidade Federal de Uberlândia; Brasil; Programa de Pós-graduação em Engenharia Mecânica
• Palavras-chave em Português: Neuro-Fuzzy; Evolução Direfencial; Aeromodelo; Air model; Pixhawk; Modelagem Aero-dinâmica; Aerodynamic Modelling; Otimização; Optimization; Cessna 182; CNPQ::ENGENHARIAS::ENGENHARIA MECANICA::MECANICA DOS SOLIDOS::DINAMICA DOS CORPOS RIGIDOS, ELASTICOS E PLASTICOS
• Link de acesso: https://repositorio.ufu.br/handle/123456789/29253; http://dx.doi.org/10.14393/ufu.di.2019.2176

This work has the main objective to obtain an aerodynamic model, as fidelity as possible, for anaircraft remote controlled, a replica of the Cessna 182 in scale. To conduct the idea, was used thecomputational intelligence technique known as Neuro-Fuzzy, which is capable of imitating thebehavior of any system, if constructed with the help of a specialist. The experimental data wereacquired through an acquisition board known as Pixhawk-PX4. After data acquisition, the samewas divided into two parts, training and validation. After the optimization made by Neuro-Fuzzy,with the aid of a differential evolution for the training data, the model should be able to predictthe forces and moments for different attitudes of the air model.