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Multiobjective optimal control of a four‐body kinematic chain
Author(s) -
Ringkamp Maik,
Leyendecker Sigrid,
OberBlöbaum Sina
Publication year - 2013
Publication title -
pamm
Language(s) - English
Resource type - Journals
ISSN - 1617-7061
DOI - 10.1002/pamm.201310009
Subject(s) - optimal control , discretization , kinematics , mathematical optimization , dimension (graph theory) , multi objective optimization , control theory (sociology) , variety (cybernetics) , computer science , control (management) , point (geometry) , mathematics , optimal design , artificial intelligence , mathematical analysis , physics , machine learning , geometry , classical mechanics , pure mathematics
Optimal control of mechanical systems is an active area of research. However, so far, most contributions are taking only one single objective into account, whereas for many practical problems, one is interested in optimizing several conflicting objectives at the same time. Applying singleobjective optimization to each of them leads to several trajectories each being optimal for one objective, but ignoring all others. In contrast to that, combining all objectives and using multiobjective optimization leads to a variety of trade off solutions taking all objectives into account simultaneously. We use the direct discretization method DMOCC (Discrete Mechanics and Optimal Control for Constrained systems) to approximate trajectories of the underlying optimal control problems, resulting in restricted optimization problems of high dimension. For the multiobjective part, we apply a reference point technique which successively utilizes an auxiliary distance function to gain the trade off solutions. The presented approach is illustrated by the multiobjective optimal control of a constrained multibody system. A four‐body kinematic chain is controlled in a rest to rest maneuver, for which minimal control effort and minimal required maneuver time are the conflicting objectives. (© 2013 Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim)