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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. |
