Energy-Optimal Timing of Robot Stations Subject to Gaussian Disturbances
Paper in proceedings, 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.

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 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,

Subject Categories

Embedded Systems

Robotics

Control Engineering

DOI

10.1109/ETFA.2019.8869250

More information

Latest update

11/11/2019