Energy optimization of trajectories for high level scheduling
Paper in proceedings, 2011

Minimization of energy consumption is today an issue of utmost importance in manufacturing industry. A previously presented technique for scheduling of robot cells, which exploits variable execution time for the individual robot operations, has shown promising results in energy minimization. In order to slow down a manipulator's movement the method utilizes a linear time scaling of the time optimal trajectory. This paper attempts to improve the scheduling method by generating energy optimal data using dynamic time scaling. Dynamic programming can be applied to an existing trajectory and generate a new energy optimal trajectory that follows the same path but with another execution time. With the new method, it is possible to solve the optimization problem for a range of execution times in one run. A simple two-joint planar example is presented in which energy optimal dynamic time scaling is compared to linear time scaling. The results show a small decrease in energy usage for minor scaling, but a significant reduction for longer execution times.

Acceleration

Joints

Scheduling

Trajectory

Robots

Dynamic programming

Optimization

Cost function

Author

Oskar Wigström

Chalmers, Signals and Systems, Systems and control, Automation

Bengt Lennartson

Chalmers, Signals and Systems, Systems and control, Automation

IEEE International Conference on Automation Science and Engineering

21618070 (ISSN) 21618089 (eISSN)

654-659 6042472

Driving Forces

Sustainable development

Areas of Advance

Production

Subject Categories

Computational Mathematics

DOI

10.1109/CASE.2011.6042472

ISBN

978-1-4577-1730-7

More information

Created

10/7/2017