A fly-by-wire rudder control system design using multiobjective optimization.
AUTOR(ES)
Bernardo Reis Dreyer de Souza
FONTE
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia
DATA DE PUBLICAÇÃO
20/03/2009
RESUMO
This work aims to demonstrate an approach to design a fly-by-wire mobile surface control system for a commercial jet employing multiobjective optimization techniques. This approach consists on sizing a set of design parameters of the control system based on model simulation and response analysis coupled with optimization algorithms in a multiobjective design environment. An overview on control surface systems is presented, focusing on fly-by-wire. To provide the theoretical basis, a review on optimization theory and methods is presented, as well it is developed the system mathematical model. The system in focus is of electro-hydraulic actuation, where a controller acts on a servo valve, that commands an actuator for positioning control of an aircraft rudder. The design approach was to optimize a set of system components parameters, such as controller gains, servo valve and hydraulic actuator parameters, that result in adequate workloads and produce a system that meets the design requirements and is cost-effective. The model, to be simulated and analyzed, is implemented in MATLAB/Simulink, from where the system response characteristics are passed to the optimization environment. A multiobjective genetic algorithm is applied, and as a result from the optimization process we obtain a Pareto set, from where an optimal design is chosen for a detailed analysis.
ASSUNTO(S)
otimização de pareto sistemas hidráulicos de aeronaves controle de pilotagem por fios superfícies de controle modelos matemáticos simulação computadorizada engenharia aeronáutica
ACESSO AO ARTIGO
http://www.bd.bibl.ita.br/tde_busca/arquivo.php?codArquivo=2162Documentos Relacionados
- Modeling and identification of a fly-by-wire control system.
- Nonlinear control system design using variable complexity modelling and multiobjective optimization
- Control system design for a gas turbine engine using evolutionary computing for multidisciplinary optimization
- Design of distributed optical-fiber raman amplifiers using multi-objective particle swarm optimization
- Multiobjective engineering design optimization problems: a sensitivity analysis approach