Energy Optimization of Robotic Cells

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00303374" target="_blank" >RIV/68407700:21230/17:00303374 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21730/17:00303374

Výsledek na webu

<a href="http://dx.doi.org/10.1109/TII.2016.2626472" target="_blank" >http://dx.doi.org/10.1109/TII.2016.2626472</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TII.2016.2626472" target="_blank" >10.1109/TII.2016.2626472</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Energy Optimization of Robotic Cells

Popis výsledku v původním jazyce

This study focuses on the energy optimization of industrial robotic cells, which is essential for sustainable production in the long term. A holistic approach that considers a robotic cell as a whole toward minimizing energy consumption is proposed. The mathematical model, which takes into account various robot speeds, positions, power-saving modes, and alternative orders of operations, can be transformed into a mixed-integer linear programming formulation that is, however, suitable only for small instances. To optimize complex robotic cells, a hybrid heuristic accelerated by using multi-core processors and the Gurobi simplex method for piecewise linear convex functions is implemented. The experimental results showed that the heuristic solved 93% of instances with a solution quality close to a proven lower bound. Moreover, compared with the existing works, which typically address problems with 3 to 4 robots, this study solved real-size problem instances with up to 12 robots and considered more optimization aspects. The proposed algorithms were also applied on an existing robotic cell in ˇSkoda Auto. The outcomes, based on simulations and measurements, indicate that, compared with the previous state (at maximal robot speeds and without deeper power-saving modes), the energy consumption can be reduced by about 20% merely by optimizing the robot speeds and applying power-saving modes. All the software and generated data sets used in this research are publicly available.

Název v anglickém jazyce

Energy Optimization of Robotic Cells

Popis výsledku anglicky

This study focuses on the energy optimization of industrial robotic cells, which is essential for sustainable production in the long term. A holistic approach that considers a robotic cell as a whole toward minimizing energy consumption is proposed. The mathematical model, which takes into account various robot speeds, positions, power-saving modes, and alternative orders of operations, can be transformed into a mixed-integer linear programming formulation that is, however, suitable only for small instances. To optimize complex robotic cells, a hybrid heuristic accelerated by using multi-core processors and the Gurobi simplex method for piecewise linear convex functions is implemented. The experimental results showed that the heuristic solved 93% of instances with a solution quality close to a proven lower bound. Moreover, compared with the existing works, which typically address problems with 3 to 4 robots, this study solved real-size problem instances with up to 12 robots and considered more optimization aspects. The proposed algorithms were also applied on an existing robotic cell in ˇSkoda Auto. The outcomes, based on simulations and measurements, indicate that, compared with the previous state (at maximal robot speeds and without deeper power-saving modes), the energy consumption can be reduced by about 20% merely by optimizing the robot speeds and applying power-saving modes. All the software and generated data sets used in this research are publicly available.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/GA16-23509S" target="_blank" >GA16-23509S: Flexibilní rozvrhovací a optimalizační algoritmy pro distribuované systémy reálného času</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS

ISSN

1551-3203

e-ISSN

1941-0050

Svazek periodika

13

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

11

Strana od-do

92-102

Kód UT WoS článku

000395874400010

EID výsledku v databázi Scopus

2-s2.0-85013428317