Energy-Optimal Timing of Robot Stations Subject to Gaussian Disturbances
Paper i proceeding, 2019

This paper proposes an optimization model for optimizing the energy use of industrial robots in production systems affected by stochastic disturbances. In the model there are a number of operations that needs to be completed by the robots before a deadline. The operations are of two types, one type that can not be controlled and have stochastic execution times. The other type are robot movements, and by extending their execution times energy can be saved. The goal of the optimization is to find the optimal combination of execution times for the robot movements, while meeting the deadline with a given probability.

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 Emerging Technologies and Factory Automation, ETFA

19460740 (ISSN) 19460759 (eISSN)

Vol. 2019-September 1441-1444 8869250

24th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2019
Zaragoza, Spain,

Ämneskategorier

Inbäddad systemteknik

Robotteknik och automation

Reglerteknik

DOI

10.1109/ETFA.2019.8869250

Mer information

Senast uppdaterat

2019-11-11