Integrated Structural and Controller Optimization in Dynamic Mechatronic Systems

In order to take into account the interaction between the part, dynamic system, control system, and changing mechanical behavior with all its consequences for the optimization process, a simulation of the complete mechatronic system is integrated into the optimization process within the research work presented in this paper. A hybrid multibody system (MBS) simulation, that is a MBS containing flexible bodies, in conjunction with a cosimulation of the control system represented by tools of the computer aided control engineering, is integrated into the optimization process. By an inner optimization loop the controller parameters are adopted new in each of the iterations of the topology optimization in order to provide realistic load cases. The benefits will be illustrated by an example in conjunction with the humanoid robot ARMAR III of the Collaborative Research Centre 588 'Humanoid Robots-Learning and Cooperating Multimodal Robots' in Karlsruhe Germany. It will be shown how the new approach for the optimization of parts 'within' their surrounding mechatronic system allows an efficient optimization of such structures.