Optimisation of Power Consumption for Robotic Lines in Automotive Industry
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00315028" target="_blank" >RIV/68407700:21230/17:00315028 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21730/17:00315028
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-63957-4_7" target="_blank" >http://dx.doi.org/10.1007/978-3-319-63957-4_7</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-63957-4_7" target="_blank" >10.1007/978-3-319-63957-4_7</a>
Alternative languages
Result language
angličtina
Original language name
Optimisation of Power Consumption for Robotic Lines in Automotive Industry
Original language description
A novel mathematical formulation of the energy optimisation problem for robotic lines is presented, which allows minimising the energy consumption in a robotic cell while keeping the required production cycle time. Different energy saving modes of the robots are utilised as well as the fact that the robot energy consumption during its movement depends on the movement duration. This dependency is modelled with a so-called energy function, which can be obtained by measurements, physical modelling of the robots or simulation. Each of these areas is covered by the presented work. The achieved results show there is a good potential to achieve energy savings at existing robotic cells and their series, and an even bigger potential if the presented approach is used during the design phase of new robotic cells.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
20204 - Robotics and automatic control
Result continuities
Project
<a href="/en/project/GA16-23509S" target="_blank" >GA16-23509S: Flexible Scheduling and Optimization Algorithms for Distributed Real-time Embedded Systems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Math for the Digital Factory
ISBN
978-3-319-63955-0
Number of pages of the result
27
Pages from-to
135-161
Number of pages of the book
348
Publisher name
Springer, Cham
Place of publication
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UT code for WoS chapter
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