Evolutionary Algorithms to Analyse and Design a Controller for a Flapping Wings Aircraft

作者: Stéphane Doncieux , Mohamed Hamdaoui

DOI: 10.1007/978-3-642-18272-3_6

关键词: FlappingEvolutionary algorithmContext (language use)Relation (database)Control theoryMulti-objective optimizationKinematicsComputer scienceRoboticsControl engineeringArtificial intelligence

摘要: Evolutionary Algorithms are now mature optimization tools, especially in a multi-objective context. This ability is used here to help explore, analyse and, on this basis, propose controller for complex robotics system: flapping wings aircraft. A performed find the best parameters of sinusoidal kinematics. Multi-objective algorithms generate set trade-off solutions instead single solution. The feedback then potentially more informative context relative one objective setup: can be analyzed characterize studied system. Such an approach applied study simulated wing speed-energy relation empirically evaluated and analysis relations between kinematics speed has led, further step, synthesis open-loop allowing change during flight.

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