Abstract
This paper introduces a Mechatronic Concurrent Design procedure to address multidisciplinary fields in Mechatronics. This approach takes into account multiple criteria and design variables from mainly mechanical aspects, control issues, and task-oriented features to formulate an optimization problem, which is solved using heuristic algorithms. An example is discussed to show the feasibility and characteristics of the procedure.
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References
Brossog, M., et al.: Reducing the energy consumption of industrial robots in manufacturing systems. Int. J. Adv. Manuf. Technol. 78(5–8), 1315–1328 (2015)
Kayacan, E., Chowdhary, G.: Tracking error learning control for precise mobile robot path tracking in outdoor environment. J. Intell. Robot. Syst. 95, 975–986 (2019)
Loughlin, C., Albu-Schäffer, A., Haddadin, S., Ott, C., Stemmer, A., Wimböck, T., Hirzinger, G.: The DLR lightweight robot: design and control concepts for robots in human environments. Ind. Robot Int. J. 34(5), 376–385 (2007)
Inoue, K., Ogata, K., Kato, T.: An efficient induction motor drive method with a regenerative power storage system driven by an optimal torque. In: 2008 IEEE Power Electronics Specialists Conference, Rhodes, pp. 359–364 (2008)
Zhang, W.J., Li, Q., Guo, L.S.: Integrated design of mechanical structure and control algorithm for a programmable four-bar linkage. IEEE/ASME Trans. Mechatron. 4(4), 354–362 (1999)
Russo, M., Herrero, S., Altuzarra, O., Ceccarelli, M.: Kinematic analysis and multiobjective optimization of a 3-UPR parallel mechanism for a robotic leg. Mech. Mach. Theory 120, 192–202 (2018)
Fahmy, S.A.: Optimal design and scheduling of cellular manufacturing systems: an experimental study. In: 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC) Budapest, pp. 4532–4537 (2016)
Ceccarelli, M., Paglia, R., Lanni, C.: Analysis and optimization of a robotized workcell in fiat plant. In: 9th International Workshop on Robotics in Alpe-Adria Danube Region RAAD2000, Maribor, pp. 361–366 (2000)
Minchala-Avila, L.I., Garza-Castañón, L.E., Vargas-Martínez, A., Zhang, Y.: A review of optimal control techniques applied to the energy management and control of microgrids. Procedia Comput. Sci. 52, 780–787 (2015)
Palli, G., Melchiorri, C.: Robust control of robots with variable joint stiffness. In: 2009 International Conference on Advanced Robotics, Munich, pp. 1–6 (2009)
Zheng, C., Bricogne, M., Le Duigou, J., Eynard, B.: Survey on mechatronic engineering: a focus on design methods and product models. Adv. Eng. Inform. 28(3), 241–257 (2014)
Portilla-Flores, E.A., Mezura-Montes, E., Alvarez-Gallegos, J., Coello-Coello, C.A., Cruz-Villar, C.A.: Integration of structure and control using an evolutionary approach: an application to the optimal concurrent design of a CVT. Int. J. Numer. Meth. Eng. 71(8), 883–901 (2007)
Yang, X.-S.: Nature-Inspired Algorithms and Applied Optimization. Springer, Cham (2018)
Deb, K.: Multi-objective optimization. In: Burke, E.K., Kendall, G. (eds.) Search Methodologies. Springer, Cham (2005)
Acknowledgments
The first author acknowledge Consejo Nacional de Ciencia y Tecnología and Instituto Politécnico Nacional for supporting his period of study at LARM2 of Rome Tor Vergata University in the A.Y. 2019–20 within a double Ph.D. degree program.
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Morales-Cruz, C., Ceccarelli, M., Portilla-Flores, E.A. (2021). Design Formulation for a Multi-criteria Optimization of Mechatronic Systems. In: Niola, V., Gasparetto, A. (eds) Advances in Italian Mechanism Science. IFToMM ITALY 2020. Mechanisms and Machine Science, vol 91. Springer, Cham. https://doi.org/10.1007/978-3-030-55807-9_94
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DOI: https://doi.org/10.1007/978-3-030-55807-9_94
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