Ensamblaje automático de piezas con desviaciones dimensionales

  1. Javier Gámez García 1
  2. Alejandro Sánchez García 1
  3. Silvia Satorres Martínez 1
  4. Juan Gómez Ortega 1
  1. 1 Universidad de Jaén
    info

    Universidad de Jaén

    Jaén, España

    ROR https://ror.org/0122p5f64

Journal:
Revista iberoamericana de automática e informática industrial ( RIAI )

ISSN: 1697-7920

Year of publication: 2012

Volume: 9

Issue: 4

Pages: 383-392

Type: Article

DOI: 10.1016/J.RIAI.2012.09.006 DIALNET GOOGLE SCHOLAR lock_openOpen access editor

More publications in: Revista iberoamericana de automática e informática industrial ( RIAI )

Abstract

The automatic assembly of parts can create some problems because of the dimensional variations of the elements to be assembled (mainly because of mechanical inconsistencies). A representative example of this kind of assembly problem can be found in the production of vehicle headlamps, where one of the main stages is the assembly of the cover lens, which is made of polycarbonate, over a black housing made of polypropylene. This process is currently done statically and does not consider possible size variations of the plastic parts, thus resulting in headlamps with dimensional errors. This paper introduces a new methodology of dynamic assembly for an industrial application that requires an adaptive positioning of the parts that are to be assembled. In addition, this work presents a successful example of an industrial prototype where different technologies, which aim to solve different problems, have to be analysed and tested. In particular, different approaches were studied: surface measurement sensors for transparent and deformable objects, actuation systems that could modify the assembly position of the parts, and control algorithms that could carry out this adaptive assembly automatically. A robust industrial prototype for vehicle headlamp assembly has been designed and built. It has been validated in both a research lab and in the assembly line of a vehicle headlamp factory. The new prototype solves the problem of assembling vehicle headlamps, achieving a final product with minimum dimensional errors and offering an example of a solution to the problem of the assembly of pieces with dimensional errors.

Bibliographic References

  • Bishop, R. H., 2008. Mechatronic systems, sensors, and actuators: fundamentals and modeling. CRC Press.
  • Blomdell, A., Bolmsjö, G., Brogårdh, T., Cederberg, P., Isaksson, M., Johansson, R., Haage, M., Nilsson, K., Olsson, M., Olsson, T., Robertsson, A., Wang, J., September 2005. Extending an industrial robot controller— Implementation and applications of a fast open sensor interface. IEEE Robotics and Automation Magazine 12(3), 85–94.
  • Bruyninckx, H., de Schutter, J., 1996. Specification of force-controlled actions in the task frame formalism- a synthesis. IEEE Transactions on Robotics and Automation 12 (4), 581 – 589.
  • Chen, C., Wong, C., 2002. Self-generating rule-mapping fuzzy controller design using a genetic algorithm. In: IEE Proc. Control theory applications. Vol. 149(2). pp. 143–148.
  • Gamez, J., Gomez Ortega, J., Sanchez Garcia, A., Satorres Martinez, S., 2009a. Robotic software architecture for multisensor fusion system. IEEE Trans. on Industrial Electronics 56(3), 766–777.
  • Gamez, J., Robertsson, A., Gomez Ortega, J., Johansson, R., 2008. Sensor fusion for compliant robot motion control. IEEE Trans. on Robotics 24(2), 430–441.
  • Gamez, J., Robertsson, A., Gomez Ortega, J., Johansson, R., 2009b. Selfcalibrated robotic manipulator force observer. Robotics and Computer Integrated Manufacturing 25(2), 366–378.
  • Gamez-Garcia, J., Gómez-Ortega, J., Satorres-Martinez, S., Sanchez-Martinez, A., 2009. High-accuracy automatic system to assemble vehicle headlamps. In: Proceedings of the IEEE Int. Conf. On Emerging Tech. And Factory Automation (ETFA).
  • Groover, M. P., 2008. Automation, Production Systems and ComputerIntegrated Manufacturing. Pearson Education, Upper Saddle River, New Jersey, USA.
  • Haber, R., Alique, J. R., 2007. Fuzzy logic-based torque control system for milling process optimization. IEEE Trans. on Systems, man and Cybernetics 37(5), 941–950.
  • Johansson, R., 1993. System Modeling and Identification. Prentice Hall, Englewood Cliffs, NJ.
  • Klir, G., Folger, T., 1988. Fuzzy sets, information and uncertainty. Englewood Cliffs, NJ, Prentice Hall.
  • Kosko, B., 1990. Fuzzy Thinking: The new science of Fuzzy Logic. Flamingo Press/Harper Collins, London.
  • Kosko, B., 1992. Neural networks and fuzzy systems. Englewood Cliffs, NJ, Prentice Hall.
  • Kubica, E., Madill, D., Wang, D., 2005. Designing stable mimo fuzzy controllers. Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on 35(2), 372–380.
  • Lam, H., Ling, W., 2008. Sampled-data fuzzy controller for continuos nonlinear systems. IEEE Control Theory Appl. 2(1), 32–39.
  • Liu, Z., Yang, J., Wang, M., 2009. Research of kinematics parameter calibration for robot manipulator based on measuring method. In: Mechatronics and Automation, 2009. ICMA 2009. International Conference on. pp. 2735 – 2740.
  • Ljung, L., 1999. System Identification - Theory For the User. 2nd ed, PTR Prentice Hall, Upper Saddle River, N.J.
  • Lopes, A., Almeida, F., 2008. A force-impedance controlled industrial robot using an active robotic auxiliary device. Robotics and Computer-Integrated Manufacturing 24 (3), 299 – 309.
  • Mandani, E., 1974. Application of fuzzy algorithms for control of a simple dynamic process. In: Proc. Inst. Electr. Eng. Vol. 121. pp. 1585–1588.
  • Novak, J. D., Musonda, D., 1991. A twelve-year longitudinal study of science concept learning. American Educational Research Journal 28(1), 117–153.
  • Papageorgiou, E., Markinos, A., Gemptos, T., 2009. Application of fuzzy cognitive maps for cotton yield manegement in precision farming. Expert systems with Applications 36, 12399–12413.
  • Pawlak, A. M., 2007. Sensors and actuators in mechatronics: design and applications. CRC Press.
  • Ross, T., 2004. Fuzzy logic with engineering applications. 2nd Ed. Chichester, Wiley, UK.
  • Roychowdhury, S., Pedrycz, W., 2001. A survey of defuzzication strategies. Int. Journal of Intelligent Systems 16, 679–695.
  • Wei, G. Q., Hirzinger, G., 1998. Active self-calibration of hand-mounted laser range finders. IEEE Trans. Robotics and Automation 14(3), 493–497.
  • Ying, H., 1999. Analytic structure of a typical fuzzy controller employin trapezoidal input fuzzy sets and nonlinear control rules. Journal on Inf. Sci. 116, 177–203.