Modélisation dynamique de la locomotion compliante : Application au vol battant bio-inspiré de l'insecte

摘要

The objective of the present work is to model the locomotion dynamics of "soft robots", i.e. compliant mobile multi-body systems. These compliances can be either localized and treated as passive joints of the system, or introduced by distributed flexibilities along the bodies. The dynamics of these systems is modeled in a Lagrangian approach based on the mathematical tools developed by the American school of geometric mechanics. From the algorithmic viewpoint, the computation of these dynamic models is based on a recursive and efficient Newton-Euler algorithm which is extended here to the case of robots equipped with compliant organs. The proposed algorithm is compatible with control, fast simulation and real time robotic applications. It is able to solve the direct external dynamics as well as the inverse internal torque dynamics. The modeling tools and algorithms developed in this thesis are applied to one of the most advanced cases of compliante locomotion i.e. the flapping flight MAVs bio-inspired by insects. The nonlinear equations governing the passive deformations of the wing are derived using two different methods. In the first method, we separate the wing movement into a rigid component (which corresponds to the movements of a "floating frame"), and a deformation component. The latter one is parameterized in the floating frame using the assumed modes approach where the wing is considered as an Euler-Bernoulli beam undergoing flexion and torsion deformations. Regarding the second method, the wing movements are no longer separated but directly parameterize dusing rigid finite absolute transformations of a Cosserat beam. This method is called Galilean or "geometrically exact" because it does not require any approximation apart from the unavoidable spatial and temporal discretizations imposed by numerical resolution of the flight dynamics. In both cases, the aerodynamic forces are taken into account through a simplified analytical model. The resulting models and algorithms are used in the context of the collaborative project (ANR) EVA to develop a flight simulator, and to design wing prototype.