A method for reducing the energy consumption of pick-and-place industrial robots

Mechatronics

Volumn 23, Issue 3, 2013, Pages 326-334

  Pellicciari, M ^a   Berselli, G ^a   Leali, F ^a   Vergnano, A ^a  

^a UNIVERSITY OF MODENA AND REGGIO EMILIA   (Italy)

Author keywords

Electromechanical modeling; Energy efficiency; Robotic manufacturing; Virtual prototyping

Indexed keywords

ENERGY EFFICIENCY; INDUSTRIAL ROBOTS; MACHINE DESIGN; MANIPULATORS; MANUFACTURE; ROBOTICS; TRANSMISSION CONTROL PROTOCOL; VIRTUAL PROTOTYPING;

ELECTROMECHANICAL MODELING; ENERGY-SAVING STRATEGIES; MANUFACTURING PROCESS; OPTIMAL TRAJECTORIES; PARALLEL MANIPULATORS; PICK AND PLACE; ROBOTIC SYSTEMS; TECHNOLOGICAL CONSTRAINTS;

ENERGY UTILIZATION;

EID: 84880325222     PISSN: 09574158     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mechatronics.2013.01.013     Document Type: Article

References (37)

1. ManuFuture. Strategic research agenda. Report of the high level group. ManuFuture Platform; 2006.
2. Menanteau P, Finon D, Lamy M. Prices versus quantities: choosing policies for promoting the development of renewable energy. Energy Policy 2003;31:799-812.
3. Hirzinger G et al. On a new generation of torque controlled light-weight robots. In: Proceedings of the IEEE international conference on robotics and automation; 2001. p. 3356-63.
4. Saidur R. A review on electrical motors energy use and energy savings. Renew Sust Energy Rev 2010;14:877-98.
5. Maimon O, Profeta E, Singer S. Energy analysis of robot task motions. J Intell Robot Syst 1991;4:175-98.
6. Vukobratovic M, Kircanski M. A method for optimal synthesis of manipulation robot trajectories. ASME J Dynam Syst Meas Control 1982;104(2):188-93.
7. Tan H, Potts R. Discrete trajectory planner for robotic arms with six degrees of freedom. IEEE Trans Robot Autom 1989;5(5):681-90.
8. Diken H. Energy efficient sinusoidal path planning of robot manipulators. Mech Mach Theory 1994;29(6):785-92.
9. Park J. Motion profile planning of repetitive point-to-point control for maximum energy conversion under acceleration conditions. Mechatronics 2006;6(6):649-63.
10. Sergaki E, Stavrakakis G, Pouliezos A. Optimal robot speed trajectory by minimization of the actuator motor electromechanical losses. J Intell Robot Syst 2002;33:187-207.
11. Kim CH, Kim BK. Minimum-energy motion planning for differential-driven wheeled mobile robots. Motion planning. InTech; 2008. p. 192-226. ISBN: 978-953-7619-01-5.
12. Abba G, Chaillet N. Robot dynamic modeling using a power flow approach with application to biped locomotion. Autonom Robots 1999;6. 39-2.
13. Izumi T, Zhou H, Li Z. Optimal design of gear ratios and offset for energy conservation of an articulated manipulator. IEEE Trans Autom Sci Eng 2006;6(3):551-7.
14. Meyer N, Angeles J. Minimization of power losses in cooperating manipulators. In: American control conference; 1991. p. 3044-9.
15. Vergnano A, Thorstensson C, Lennartson B, Falkman P, Pellicciari M, Leali F, et al. Modeling and optimization of energy consumption in cooperative multirobot systems. IEEE Trans Autom Sci Eng 2012;9(2):423-8.
16. Bobrow J, Dubowsky S, Gibson J. Time-optimal control of robotic manipulators along specified paths. Int J Robot Res 1985;4(3):3-17.
17. Meike D, Ribickis L Energy efficient use of robotics in the automobile industry. In: ICAR international conference on advanced robotics; 2011. p. 507-11.
18. Moon S, Ahmad S. Time scaling of cooperative multirobot trajectories. IEEE Trans Syst Man Cybernet 1991;21(4):900-8.
19. Wigstrom O, Lennartson B, Vergnano A, Breitholtz C. High-level scheduling of energy optimal trajectories. IEEE Trans Autom Sci Eng 2012(99):1-8.
20. Guardabrazo T, de Santos PG. Building an energetic model to evaluate and optimize power consumption in walking robot. Indus Robot 2004;31(2):201-8.
21. Kolibal Z, Smetanova A. Experimental implementation of energy optimization by robot movement. In: IEEE 19th international workshop on robotics; 2010. p. 333-9.
22. Lewis FL, Abdallah CT, Dawson DM. Control of robot manipulators: theory and practice. New York: Marcel Dekker, Inc.; 2004.
23. Craig J. Introduction to robotics: mechanics and control. 3rd ed. Addison-Wesley Publishing Company, Inc.; 2005.
24. Park FC, Choi J, Ploen SR. Symbolic formulation of closed chain dynamics in independent coordinates. Mech Mach Theory 1999;34(5):731-51.
25. Hughes A. Electric motors and drives fundamentals, types and applications. London: Elsevier; 2006.
26. Aalto H. Multi-axis servo and system drives comparison. PhD thesis. Bachelor thesis. Metropolia: University of Applied Sciences; 2011.
27. ABB Robotics. Abb industrial drives, technical catalogue. ACS800-multidrive-revB-LR.pdf. 〈http://www.abb.com〉.
28. Sciavicco L, Siciliano B, Villani L, Oriolo G. Robotics: modelling, planning and control. London: Springer; 2009.
29. Verscheure D, Diehl M, Schutter JD, Swevers J. On-line time-optimal path tracking for robots. In: IEEE ICRA international conference on robotics and automation; 2009. p. 599-605.
30. Hollerbach J, Khalil W, Gautier M. Model identification. In: Siciliano B, Khatib O, editors. Handbook of robotic. Springer; 2008. p. 321-44.
31. Tenerz M. Parameter estimation in a permanent magnet synchronous motor. PhD thesis. Sweden: Linköping University; 2011.
32. Corke P. A robotics toolbox for MATLAB. IEEE Robot Autom Mag 1996;3(1):24-32.
33. FunctionBay GmbH. Recurdyn professional. 〈http://www.functionbay. de〉; 2012.
34. Li Y, Bone G. Are parallel manipulators more energy efficient? In: IEEE international symposium on computational intelligence in robotics and automation, Bannf, CDN; 2001. p. 41-6.
35. Giberti H, Cinquemani S, Legnani G. Effects of transmission mechanical characteristics on the choice of a motor-reducer. Mechatronics 2010;20(5):604-10.
36. ABB, Robotstudio. 〈http://www.abb.com/product〉; 2011.
37. Meike D, Pellicciari M, Berselli G, Vergnano A, Ribickis L. Increasing the energy efficiency of multi-robot production lines in the automotive industry. In: IEEE International Conference on Automation Science and Engineering Case; 2012. p. 700-5.