Search for Author, Title, Keyword
RESEARCH PAPER
Power losses and their properties for low range of a robot electric motor working conditions as the part of energy effectiveness research
,
 
 
 
 
More details
Hide details
1
Silesian University of Technology Faculty of Mechanical Engineering Konarskiego St, 44-100 Gliwice, Poland
 
 
Publication date: 2018-12-31
 
 
Eksploatacja i Niezawodność – Maintenance and Reliability 2018;20(4):542-548
 
KEYWORDS
ABSTRACT
Power losses are one of many factors affecting the energy effectiveness of production processes, however despite this, commonly investigated ranges of power losses do not explain how they change in the stages being different from a typical driving mode. This investigation focuses on low working conditions of a robot electric motor and the properties of power losses changes while going from a driving mode into a stand-still mode of electric motor work. Apart from determined values of power maps components, this work shows how to manage with technical limitations in performing measurements of industrial robot electrical states at the industrial conditions, like high disturbances, noise and limited range of robot axis angle position.
REFERENCES (24)
1.
Akagi H, Watanabe E H, Aredes M. Instantaneous Power Theory and Applications to Power Conditioning 2017: 27, https://doi.org/10.1002/978111....
 
2.
Audio Precision. More about THD+N and THD 2013.
 
3.
Belda K, Burget P. Physical Modelling of Energy Consumption of Industrial Articulated Robots. 15th International Conference on Control, Automation and Systems (ICCAS 2015).
 
4.
Brossog P M, Kohl J, Merhof J, Spreng S, Franke J. Energy Consumption and Dynamic Behavior Analysis of a Six-axis Industrial Robot in an Assembly System. CIRP 2014; 23: 131-136, https://doi.org/10.1016/j.proc....
 
5.
Bucci G, Ciancetta F, Fiorucci E, Ometto A. Survey about classical and innovative definitions of the power quantities under nonsinusoidal conditions. International Journal of Emerging Electric Power Systems 2017; 18(3): 1-16, https://doi.org/10.1515/ijeeps....
 
6.
Fluke 434-II/435-II/437-II. Users Manual 2012. Rev.1 06/12.
 
7.
Grady W M, Gilleskie R J. Harmonics and how they relate to power factor. Proc. of the EPRI Power Quality Issues & Opportunities Conference (PQA'93), San Diego, CA 1993: 3-10.
 
8.
IEEE Standard Definitions for the Measurement of Electric Power Quantities Under Sinusoidal, Nonsinusoidal, Balanced, or Unbalanced Conditions. IEEE Std 1459TM-2010; (Revision of IEEE Std 1459-2000).
 
9.
Liu A, Liu H, Yao B, Xu W, Yang M. Energy consumption modeling of industrial robot based on simulated power data and parameter identification. Advances in Mechanical Engineering 2018; 10 (5): 1-11, https://doi.org/10.1177/168781....
 
10.
Mohammeda A, Schmidt B, Wanga L, Gaoc L. Minimizing Energy Consumption for Robot Arm Movement. Procedia CIRP 2014; 25: 400-405, https://doi.org/10.1016/j.proc....
 
11.
Paesa K, Dewulfa W, Elsta K V, Kellensb K, Slaetsa P. Energy efficient trajectories for an industrial ABB robot. CIRP 2014; 15: 105-110, https://doi.org/10.1016/j.proc....
 
12.
Park O S, Park J W, Bae C B, Kim J M. A Dead Time Compensation Algorithm of Independent Multi-Phase PMSM with Three- Dimensional Space Vector Control. Journal of Power Electronics 2013; 13 (1): 1, https://doi.org/10.6113/JPE.20....
 
13.
Płaczek M, Piszczek Ł. Testing of an industrial robot's accuracy and repeatability in off and online environment. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2018; 20 (3): 455-464, https://doi.org/10.17531/ein.2....
 
14.
Rane. Audio specifications 2000; 2.
 
15.
Revuelta P S, Litrán S P, Thomas J P. Active Power Line Conditioners: Design, Simulation and Implementation for Improving Power Quality 2015: 25.
 
16.
Rhode&Schwarz. Harmonic Distortion Measurements in the Presence of Noise Application Note. June 17, 2011-0e.
 
17.
Siemens. Harmonics in power systems, causes, effects and control 2013: 3.
 
18.
Stevanović D, Petković P. A single-point method based on distortion power for the detection of harmonic sources in a power system. Metrology and Measurement Systems 2014; XXI (1): 3-14.
 
19.
Szubert K. Power Measurement when waveform are distorted. Jakosc i uzytkowanie energii elektrycznej - Electrical Power Quality and Utilisation 1996; 2 (2);.
 
20.
Świder J, Zbilski A. Modelling of the power of losses in the Fanuc AM100iB robot drives and in its power electronic systems. Modelowanie inzynierskie - Engineering modeling 2013; 17(48): 138-142.
 
21.
Świder J, Zbilski A. The modelling and analysis of a partial loads in the Fanuc AM100iB robot joints. International Journal of Modern Manufacturing Technologies 2013; V (2): 89-96.
 
22.
Texas Instruments. Digital Audio Measurements 2001; SLAA114: p. 10.
 
23.
Yokogawa. WT310/WT310HC/WT330 Digital Power Meter Getting Started Guide 2013: 2-25.
 
24.
Zbilski A. Doctoral dissertation: Method for energy intensity analysis of manipulation and transportation processes 2014.
 
 
CITATIONS (1):
1.
Study of Energy Consumption of a Bucket Conveyor in a Jig Concentrator Plant in a Hard Coal Mine
Sebastian Jendrysik, Sławomir Bartoszek, Dominik Bałaga, Gabriel Kost, Agnieszka Sękala
Energies
 
eISSN:2956-3860
ISSN:1507-2711
Journals System - logo
Scroll to top