Energy and Peak-power Optimization of Time-bounded Robot Trajectories
Paper i proceeding, 2017

This paper, as an outcome of the EU project AREUS, heralds an optimization procedure that reduces up to 30% of energy consumption and up to 60% in peak-power for the trajectories that were tested on a real industrial robot. We have evaluated a number of cost functions and tested our algorithm for a variety of scenarios such as varying cycle times, payloads, and single/two-robot cases. The significance of our work is not only in the impressive savings, simplicity of implementation and preserving path and cycle time, but also in the effort made to carry out the optimization and experiments in as realistic conditions as possible, and the guidelines we provide to achieve this.

Författare

Sarmad Riazi

Chalmers, Signaler och system, System- och reglerteknik

Oskar Wigström

Chalmers, Signaler och system, System- och reglerteknik

Kristofer Bengtsson

Chalmers, Signaler och system, System- och reglerteknik

Bengt Lennartson

Chalmers, Signaler och system, System- och reglerteknik

2017 13TH IEEE CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE)

2161-8070 (ISSN)

1301-1301
978-1-5090-6781-7 (ISBN)

13th IEEE Conference on Automation Science and Engineering (IEEE CASE)
Xian, China,

Ämneskategorier

Datorteknik

Energisystem

Robotteknik och automation

Mer information

Senast uppdaterat

2018-06-12