Inverse Dynamics for Discrete Geometric Mechanics of Multibody Systems With Application to Direct Optimal Control

Author:

Björkenstam Staffan1,Leyendecker Sigrid2,Linn Joachim3,Carlson Johan S.4,Lennartson Bengt5

Affiliation:

1. Geometry and Motion Planning Fraunhofer-Chalmers Centre, Göteborg SE-412 88, Sweden e-mail:

2. Chair of Applied Dynamics, University of Erlangen-Nuremberg, Erlangen D-91058, Germany e-mail:

3. Mathematical Methods in Dynamics and Durability, Fraunhofer Institute for Industrial Mathematics, Kaiserslautern D-67663, Germany e-mail:

4. Geometry and Motion Planning, Fraunhofer-Chalmers Centre, Göteborg SE-412 88, Sweden e-mail:

5. Signals and Systems, Chalmers University of Technology, Göteborg SE-412 96, Sweden e-mail:

Abstract

In this paper, we present efficient algorithms for computation of the residual of the constrained discrete Euler–Lagrange (DEL) equations of motion for tree structured, rigid multibody systems. In particular, we present new recursive formulas for computing partial derivatives of the kinetic energy. This enables us to solve the inverse dynamics problem of the discrete system with linear computational complexity. The resulting algorithms are easy to implement and can naturally be applied to a very broad class of multibody systems by imposing constraints on the coordinates by means of Lagrange multipliers. A comparison is made with an existing software package, which shows a drastic improvement in computational efficiency. Our interest in inverse dynamics is primarily to apply direct transcription optimal control methods to multibody systems. As an example application, we present a digital human motion planning problem, which we solve using the proposed method. Furthermore, we present detailed descriptions of several common joints, in particular singularity-free models of the spherical joint and the rigid body joint, using the Lie groups of unit quaternions and unit dual quaternions, respectively.

Publisher

ASME International

Subject

Applied Mathematics,Mechanical Engineering,Control and Systems Engineering,Applied Mathematics,Mechanical Engineering,Control and Systems Engineering

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