Desenvolvimento de um algoritmo de otimização multidisciplinar baseado em algoritmo genético para uma aeronave do projeto SAE Aerodesign

Abstract

This work presents the development of a genetic algorithm for the multidisciplinary optimization of the design of a fixed-wing aircraft for the SAE Aerodesign competition. The algorithm aims to maximize the payload of the aircraft, considering the geometric, aerodynamic and performance constraints imposed by the competition rules. The algorithm uses data from aerodynamic profiles, characteristics of the motor-propeller group and performance equations to generate and evaluate the candidate configurations. The optimization process involves the steps of generating the initial population, evaluating the candidates, ranking and selection, crossover and mutation. The final result is an optimized configuration that meets the requirements of the competition and presents a high value of payload. The algorithm was validated by means of a performance tool of the team and proved to be efficient and robust for the design optimization.