Simulation based energy optimization of robot stations by motion parameter tuning
Paper i proceeding, 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.

Författare

Mattias Hovgard

Chalmers, Elektroteknik, System- och reglerteknik, Automation

Bengt Lennartson

Chalmers, Elektroteknik, System- och reglerteknik

Kristofer Bengtsson

Chalmers, Elektroteknik, System- och reglerteknik, 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,

ITEA3, Smart Prognos av Energianvändning med resursfördelning, SPEAR

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

Sustainable motions - SmoothIT

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

Ämneskategorier

Energisystem

Robotteknik och automation

Marin teknik

DOI

10.1109/COASE.2019.8843152

Mer information

Senast uppdaterat

2020-09-23