Affiliation:
1. Uniersidad Tecnológica del Norte de Aguascalientes
Abstract
In this work, a study of control systems in discrete events is carried out through their representation using finite state machines, with the particularity of being applied in the management of a prototype that has been developed to performance tasks like handling and object classification by size. The present analysis gives continuity to a previous work, in which automaton theory totally based on mathematical formalism is approached, for its use in the control of a material handling process, whose active elements are a robot in angular configuration and a conveyor belt. Therefore, it is described the addition, to the test system, of sensors that allow the discernment of each piece entered into this process, of the own programming algorithms that lead to fulfill the established task, as well as of the graphic interface for management and presentation of process condition, through a computer. Results confirm the proper functioning of active elements used, as well as their appropriate synchronization in the assurance of the proposed object classification task, under analysis of the size characteristic.
Reference17 articles.
1. Behandish, M., Nelaturi, S., & De Kleer, J. (2018). Automated process planning for hybrid manufacturing. Computer-Aided Design, 115-127.
2. Corona Ramírez, L. G., Abarca Jiménez, G. S., & Mares Carreño, J. (2014). Sensores y Actuadores. Aplicaciones con Arduino. México D.F.: Grupo Editorial Patria.
3. Endsley, E. W., Almeida, E. E., & Tilbury, D. M. (2006). Modular finite state machines: Development and application to reconfigurable manufacturing cell controller generation. Control Engineering Practice, 1127-1142.
4. Feldmann, S., Legat, C., & Vogel-Heuser, B. (2015). An analysis of challenges and state of the art for modular engineering in the machine and plant manufacturing domain. IFAC-PapersOnLine, 87-92.
5. Fitouhi, M.-C., Nourelfath, M., & Gershwin, S. B. (2017). Performance evaluation of a two-machine line with. Reliability Engineering & System Safety, 61-72.