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Reducing the energy consumption of industrial robots in manufacturing systems

  • Paryanto
  • Matthias Brossog
  • Martin Bornschlegl
  • Jörg Franke
ORIGINAL ARTICLE

Abstract

Reducing the energy consumption of industrial robots (IR) that are used in manufacturing systems has become a main focus in the development of green production systems. This is due to the reality that almost all automated manufacturing processes are using IR as the main component. Thus, reducing the energy consumption of IR will automatically reduce operating costs and CO2 emissions. Therefore, a method for reducing the energy consumption of IR in manufacturing systems is desired. Firstly, this paper presents a literature survey of the research in energy consumption analysis of IR that is used in manufacturing processes. The survey found that current research in this field is focused on the development of simulation models of IR that are able to be used to predict its energy consumption. Secondly, a modular model to analyze power consumption and dynamic behavior of IR is developed. Afterward, an experimental investigation is carried out to validate and estimate the accuracy of the model developed. The investigation shows that the developed modular model can be conveniently used to optimize the industrial robot’s operating parameters, which are commonly needed for production planning and at the process optimization stage. In addition, the investigation shows that the process constraints, environment layout, productivity requirement, as well as the robot payload and operating speed are the key factors that must be considered for optimizing the productivity and efficiency of IR.

Keywords

Energy efficiency Industrial robots Power consumption Manufacturing systems Production planning Operating parameters 

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Copyright information

© Springer-Verlag London 2015

Authors and Affiliations

  • Paryanto
    • 1
  • Matthias Brossog
    • 1
  • Martin Bornschlegl
    • 2
  • Jörg Franke
    • 1
  1. 1.Institute for Factory Automation and Production Systems (FAPS)Friedrich-Alexander-Universität Erlangen-NürnbergErlangenGermany
  2. 2.Audi Planung GmbHIngolstadtGermany

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