Energy-Optimal Timing of Robot Stations Subject to Gaussian Disturbances

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...

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Published inProceedings (IEEE International Conference on Emerging Technologies and Factory Automation) Vol. 2019-September; pp. 1441 - 1444
Main Authors Hovgard, Mattias, Lennartson, Bengt, Bengtsson, Kristofer
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2019
Subjects
Optimization
Production systems
Robot kinematics
Service robots
Stochastic processes
Online AccessGet full text
ISSN1946-0740
1946-0759
1946-0759
DOI10.1109/ETFA.2019.8869250

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Abstract 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.
AbstractList 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 Lennartson, Bengt
Bengtsson, Kristofer
Hovgard, Mattias
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  fullname: Bengtsson, Kristofer
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  organization: Division of Systems and Control, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden
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Snippet This paper proposes an optimization model for optimizing the energy use of industrial robots in production systems affected by stochastic disturbances. In the...
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StartPage 1441
SubjectTerms Optimization
Production systems
Robot kinematics
Service robots
Stochastic processes
Title Energy-Optimal Timing of Robot Stations Subject to Gaussian Disturbances
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https://research.chalmers.se/publication/513662
Volume 2019-September
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