Simulation based energy optimization of robot stations by motion parameter tuning
Paper in proceedings, 2019

This paper presents energy optimization of a welding station from a manufacturing line in an automotive factory. The aim of the optimization is to find free time between operations, where it is possible to extend the execution time of the robot movements, and thereby saving energy, without extending the cycle time of the whole station. The station is modeled and optimized in a simulation platform. The optimization algorithm works by iteratively limiting the maximum velocity of the robot movements, until no more free time exists. Simulation results show that the energy use, peak power and jerk of the robots can be reduced significantly.

Author

Mattias Hovgard

Chalmers, Electrical Engineering, Systems and control, Automation

Bengt Lennartson

Chalmers, Electrical Engineering, Systems and control

Kristofer Bengtsson

Chalmers, Electrical Engineering, Systems and control, Automation

IEEE International Conference on Automation Science and Engineering

21618070 (ISSN) 21618089 (eISSN)

Vol. 2019-August 456-461 8843152

15th IEEE International Conference on Automation Science and Engineering, CASE 2019
Vancouver, Canada,

Sustainable motions - SmoothIT

VINNOVA, 2017-10-09 -- 2020-10-30.

ITEA3, Smart Prognos av Energianvändning med resursfördelning, SPEAR

VINNOVA, 2017-10-17 -- 2020-09-30.

Subject Categories

Energy Systems

Robotics

Marine Engineering

DOI

10.1109/COASE.2019.8843152

More information

Latest update

11/11/2019