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An energy efficiency evaluation method for parallel robots based on the kinetic energy change rate

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Abstract

Benefit from the high payload-to-weight ratio, parallel robots are expected to have a high potential for energy savings. However, it is a challenging issue to evaluate the energy efficiency of parallel robots with a quantitative method. Quantitative energy efficiency evaluation methods include energy efficiency evaluation models and indices which mathematically describe the relationship between energy consumers in models and design variables of robots, such as geometry, mass and inertia parameters. Considering the structural features of parallel robots, the chains and the end effectors are identified as two separated energy consumers. Besides, the chains in parallel robots are identified as a transmission system which transfers energy from drives to the end effectors. On this basis, an energy efficiency evaluation model considering the change rate of kinetic energy stored in chains is built. The kinetic energy change rate of chains is influenced by design variables of robots as well as motion of the end effector. In order to give a quantitative description of energy efficiency performance of parallel robots, indices considering arbitrary velocity vector of the end effector are proposed. The evaluation method is suitable for all kinds of parallel robots with various motion conditions. Furthermore, the method can be used to optimize machining parameters and guide the design of energy-efficient machines.

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References

  1. Park C W, Kwon K S, Kim W B, et al. Energy consumption reduction technology in manufacturing—A selective review of policies, standards, and research. Int J Precis Eng Manuf, 2009, 10: 151–173

    Article  Google Scholar 

  2. Demirbas C. The global climate challenge: Recent trends in CO2 emissions from fuel combustion. Energy Educ Sci Tech Part A, 2009, 22: 179–193

    Google Scholar 

  3. Hu S H, Liu F, He Y, et al. Characteristic of additional load losses of spindle system of machine tools. J Advance Mech Design Sys Manu, 2012, 4: 1221–1233

    Article  Google Scholar 

  4. Carabin G, Wehrle E, Vidoni R. A review on energy-saving optimization methods for robotic and automatic Systems. Robotics, 2017, 6: 39

    Article  Google Scholar 

  5. Sun T, Song Y, Dong G, et al. Optimal design of a parallel mechanism with three rotational degrees of freedom. Robot Comput Integr Manuf, 2012, 28: 500–508

    Article  Google Scholar 

  6. Sun T, Song Y M, Li Y G, et al. Dimensional synthesis of a 3-DOF parallel manipulator based on dimensionally homogeneous Jacobian matrix. Sci China Tech Sci, 2010, 53: 168–174

    Article  MATH  Google Scholar 

  7. He L Y, Li Q C, Zhu X B, et al. Kinematic calibration of a three degrees-of-freedom parallel manipulator with a laser tracker. J Dyn Sys Meas Control, 2019, 141: 031009–1–11

    Article  Google Scholar 

  8. Kurilova-Palisaitiene J, Permin E, Mannheim T, et al. Industrial energy efficiency potentials: An assessment of three different robot concepts. Int J Sustain Eng, 2017, 10: 185–196

    Article  Google Scholar 

  9. Altintas Y, Cao Y. Virtual design and optimization of machine tool spindles. Manuf Tech, 2005, 54: 379–382

    Article  Google Scholar 

  10. Cao Y, Altintas Y. Modeling of spindle-bearing and machine tool systems for virtual simulation of milling operations. Int J Mach Tool Manu, 2007, 47: 1342–1350

    Article  Google Scholar 

  11. Ruiz A G, Santos J C, Croes J, et al. On redundancy resolution and energy consumption of kinematically redundant planar parallel manipulators. Robotica, 2018, 36: 809–821

    Article  Google Scholar 

  12. Lee G, Park S, Lee D, et al. Minimizing energy consumption of parallel mechanisms via redundant actuation. IEEE/ASME Trans Mechatron, 2015, 20: 2805–2812

    Article  Google Scholar 

  13. Li Y, Bone G M. Are parallel manipulators more energy efficient? In: IEEE International Symposium on Computational Intelligence in Robotics and Automation. 2001, 8: 41–46

    Google Scholar 

  14. Han G, Xie F G, Liu X J. Evaluation of the power consumption of a high-speed parallel robot. Fron Mech Eng, 2018, 13: 167–178

    Article  Google Scholar 

  15. Neugebauer R, Wabner M, Rentzsch H, et al. Structure principles of energy efficient machine tools. CIRP J Manufacturing Sci Tech, 2011, 4: 136–147

    Article  Google Scholar 

  16. Koriath H J, Scheffler C, Kolesnikov A, et al. Energetische bilanzierung und bewertung von werkzeugmaschinen. Internationales Kolloquium eniPROD, 2010

  17. Bi Z M, Wang L H. Optimization of machining processes from the perspective of energy consumption: A case study. J Manuf Sys, 2012, 31: 420–428

    Article  Google Scholar 

  18. Kucuk S. Energy minimization for 3-RRR fully planar parallel manipulator using particle swarm optimization. Mech Mach Theory, 2013, 62: 129–149

    Article  Google Scholar 

  19. Liu Y J, Liang L, Han H J, et al. A method of energy-optimal trajectory planning for palletizing robot. Math Problems Eng, 2017, 2017: 5862457–10

    Google Scholar 

  20. Vincent A B, Paul T M. Modelling of direct energy requirements in mechanical machining processes. J Cleaner Production, 2012, 41: 179–186

    Google Scholar 

  21. Liu A M, Liu H, Yao B T, et al. Energy cunsumption modeling of industrial robot based on simulated power data and parameter identification. Adv Mech Eng, 2018, 10: 1–11

    Google Scholar 

  22. Kroll L, Blau P, Wabner M, et al. Lightweight components for energy-efficient machine tools. CIRP J Manufacturing Sci Tech, 2011, 4: 148160

    Article  Google Scholar 

  23. Liu X J, Wu C, Wang J. A new approach for singularity analysis and closeness measurement to singularities of parallel manipulators. J Mech Robotics, 2012, 4: 041001

    Article  Google Scholar 

  24. Wang J, Wu C, Liu X J. Performance evaluation of parallel manipulators: motion/force transmissibility and its index. Mech Mach Theory, 2010, 45: 1462–1476

    Article  MATH  Google Scholar 

  25. Xie F, Liu X J, Wang J. A 3-DOF parallel manufacturing module and its kinematic optimization. Robot Comput Integr Manuf, 2012, 28: 334–343

    Article  Google Scholar 

  26. Xie F, Liu X J, Luo X, et al. Mobility, singularity, and kinematics analyses of a novel spatial parallel mechanism. J Mech Robotics, 2016, 8: 061022

    Article  Google Scholar 

  27. Bonev I A. Direct kinematics of zero-torsion parallel mechanism. In: IEEE International Conference on Robotics and Automation. IEEE, 2008. 1–9: 3851–3856

    Google Scholar 

Download references

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Correspondence to XinJun Liu or FuGui Xie.

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Liu, X., Bi, W. & Xie, F. An energy efficiency evaluation method for parallel robots based on the kinetic energy change rate. Sci. China Technol. Sci. 62, 1035–1044 (2019). https://doi.org/10.1007/s11431-019-9487-7

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  • DOI: https://doi.org/10.1007/s11431-019-9487-7

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