Autonomous experimental design optimization of a flapping wing

Authors:
Markus Olhofer;Dilyana Yankulova;Bernhard Sendhoff
Affiliations:
Honda Research Institute Europe GmbH, Offenbach/Main, Germany;Control Theory and Robotics Lab, Technical University of Darmstadt, Darmstadt, Germany;Honda Research Institute Europe GmbH, Offenbach/Main, Germany
Venue:
Genetic Programming and Evolvable Machines
Year:
2011

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Abstract

Applying evolutionary computation to the optimization of aerodynamic properties of shapes and structures usually involves computational fluid dynamics simulations. The simulation of the physical properties of a possible solution has various advantages. However, like in all simulations various restrictions and simplifications exist even for the most advanced simulation methods. Furthermore, the high computational demand very often does not allow high fidelity simulations together with numerical optimization methods. In this paper, we present an approach to combine evolutionary algorithms with physical measurements in order to allow an experiment-based evaluation of solutions. In this way, we can overcome the limitations connected to simulations of physical environments. We present the approach for a set-up in which the geometry of a flapping wing is optimized in order to find optimal configurations for various quality criteria.