Abstract
In this paper an analytical model and experimental results for minimum-energy trajectories applied to robotic axes are presented. The dynamic and electro-mechanical models of a linear axis are implemented and applied for the planning of optimal point-to-point trajectories, using trapezoidal and cycloidal motion profiles. A challenging (but realistic, in industrial environments) scenario is chosen, namely a linear axis of a Cartesian manipulator built in the 1990’s. Experimental tests are carried out measuring the energy consumption directly from the drive unit. Despite the limitations of the mechanical and power measurement systems, the results show a trend in accordance with the numerical predictions, demonstrating the feasibility of the approach in enhancing the energetic performance of the robotic system, even in worst-case conditions.
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References
Barreto, J.P., Schöler, F., Corves, B.: The concept of natural motion for pick and place operations. In: New Advances in Mechanisms, Mechanical Transmissions and Robotics, pp. 89–98. Springer (2017)
Boscariol, P., Carabin, G., Gasparetto, A., Lever, N., Vidoni, R.: Energy-efficient point-to-point trajectory generation for industrial robotic machines. In: Proceedings of the ECCOMAS Thematic Conference on Multibody Dynamics, Barcelona, Spain, pp. 1425–1433 (2015)
Boscariol, P., Gallina, P., Gasparetto, A., Giovagnoni, M., Scalera, L., Vidoni, R.: Evolution of a dynamic model for flexible multibody systems. In: Advances in Italian Mechanism Science, pp. 533–541. Springer (2017)
Boscariol, P., Gasparetto, A., Vidoni, R.: Planning continuous-jerk trajectories for industrial manipulators. In: ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis, pp. 127–136. American Society of Mechanical Engineers Digital Collection (2013)
Boscariol, P., Richiedei, D.: Energy-efficient design of multipoint trajectories for cartesian robots. Int. J. Adv. Manufact. Technol. 102(5–8), 1853–1870 (2019)
Boscariol, P., Scalera, L., Gasparetto, A.: Task-dependent energetic analysis of a 3 DOF industrial manipulator. In: International Conference on Robotics in Alpe-Adria Danube Region, pp. 162–169. Springer (2019)
Carabin, G., Palomba, I., Wehrle, E., Vidoni, R.: Energy expenditure minimization for a delta-2 robot through a mixed approach. In: IFToMM World Congress on Mechanism and Machine Science, pp. 383–390. Springer (2019)
Carabin, G., Vidoni, R., Wehrle, E.: Energy saving in mechatronic systems through optimal point-to-point trajectory generation via standard primitives. In: The International Conference of IFToMM Italy, pp. 20–28. Springer (2018)
Carabin, G., Wehrle, E., Vidoni, R.: A review on energy-saving optimization methods for robotic and automatic systems. Robotics 6(4), 39 (2017)
Hansen, C., Kotlarski, J., Ortmaier, T.: Experimental validation of advanced minimum energy robot trajectory optimization. In: 2013 16th International Conference on Advanced Robotics (ICAR), pp. 1–8. IEEE (2013)
Ho, P.M., Uchiyama, N., Sano, S., Honda, Y., Kato, A., Yonezawa, T.: Simple motion trajectory generation for energy saving of industrial machines. SICE J. Control Meas. Syst. Integr. 7(1), 29–34 (2014)
Khalaf, P., Richter, H.: Trajectory optimization of robots with regenerative drive systems: numerical and experimental results. IEEE Transactions on Robotics, 12 July 2019 (2019). https://doi.org/10.1109/TRO.2019.2923920
Kucukvar, M., Cansev, B., Egilmez, G., Onat, N.C., Samadi, H.: Energy-climate-manufacturing nexus: new insights from the regional and global supply chains of manufacturing industries. Appl. Energy 184, 889–904 (2016)
Paes, K., Dewulf, W., Vander Elst, K., Kellens, K., Slaets, P.: Energy efficient trajectories for an industrial ABB robot. Procedia Cirp 15, 105–110 (2014)
Richiedei, D., Trevisani, A.: Analytical computation of the energy-efficient optimal planning in rest-to-rest motion of constant inertia systems. Mechatronics 39, 147–159 (2016)
Scalera, L., Carabin, G., Vidoni, R., Wongratanaphisan, T.: Energy efficiency in a 4-DOF parallel robot featuring compliant elements. Int. J. Mech. Control 20(2) (2019)
Scalera, L., Boscariol, P., Carabin, G., Vidoni, R., Gasparetto, A.: Enhancing energy efficiency of a 4-DOF parallel robot through task-related analysis. Machines 8(1), 10 (2020)
Scalera, L., Palomba, I., Wehrle, E., Gasparetto, A., Vidoni, R.: Natural motion for energy saving in robotic and mechatronic systems. Appl. Sci. 9(17), 3516 (2019)
Trigatti, G., Boscariol, P., Scalera, L., Pillan, D., Gasparetto, A.: A look-ahead trajectory planning algorithm for spray painting robots with non-spherical wrists. In: IFToMM Symposium on Mechanism Design for Robotics, pp. 235–242. Springer (2018)
Trigatti, G., Boscariol, P., Scalera, L., Pillan, D., Gasparetto, A.: A new path-constrained trajectory planning strategy for spray painting robots-rev. 1. Int. J. Adv. Manuf. Technol. 98(9–12), 2287–2296 (2018)
Vidoni, R., Scalera, L., Gasparetto, A.: 3-D ERLS based dynamic formulation for flexible-link robots: theoretical and numerical comparison between the finite element method and the component mode synthesis approaches. Int. J. Mech. Control 19, 39–50 (2018)
Yin, H., Liu, J., Yang, F.: Hybrid structure design of lightweight robotic arms based on carbon fiber reinforced plastic and aluminum alloy. IEEE Access 7, 64932–64945 (2019)
Zanotto, V., Gasparetto, A., Lanzutti, A., Boscariol, P., Vidoni, R.: Experimental validation of minimum time-jerk algorithms for industrial robots. J. Intell. Rob. Syst. 64(2), 197–219 (2011)
Acknowledgments
This work was partially supported by the Free University of Bozen-Bolzano funds within the project TN2803: Mech4SME3: Mechatronics for Smart Maintenance and Energy Efficiency Enhancement. The authors would like to thank L. Favaretto for his help in collecting the experimental data.
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Scalera, L., Carabin, G., Vidoni, R., Gasparetto, A. (2020). Minimum-Energy Trajectory Planning for Industrial Robotic Applications: Analytical Model and Experimental Results. In: Zeghloul, S., Laribi, M., Sandoval Arevalo, J. (eds) Advances in Service and Industrial Robotics. RAAD 2020. Mechanisms and Machine Science, vol 84. Springer, Cham. https://doi.org/10.1007/978-3-030-48989-2_36
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