Nothing Special   »   [go: up one dir, main page]

Skip to main content

Virtual Training System for Oxygen Distribution Control Through Hardware-in-the-Loop

  • Conference paper
  • First Online:
Advances in Information and Communication (FICC 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 651))

Included in the following conference series:

  • 788 Accesses

Abstract

This work seeks to cover the need that most universities have at the time of doing internships, such as training their students in a great number of industrial processes, and achieving the best preparation, without having a great economy and space, for the implementation of different laboratories. For this reason, the industrial process of oxygen storage and distribution has been implemented in virtual reality, which is based on a physical process, with the following advantages: Use of little space, low cost in the implementation, presents no danger to the student and instructor, its design is based on an immersive system achieved with Unity software, the same that allows the implementation of sound, video, animation, in order to confuse the user's senses, It also interacts with different controllers such as PID, Logic Fuzzy and MPC in order to understand the operation of each control.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Cortero, K., Rodríguez, L., Aguilar, A.: Appropriation of skills in students who migrated, pp. 1–2. IEEE (2020)

    Google Scholar 

  2. Francis, K., Alonso Yáñez, G., Chapman, O., Cherkowski, G., Dodsworth, D., Friesen, S.: Forming and transforming STEM teacher education, pp. 1–2. IEEE (2018)

    Google Scholar 

  3. Du, Y., Si, X., Fang, X., Ma, Z.: The online medical physics curriculum-group-construction under the background. In: IEEE Medicine and Education, pp. 661–662 (2018)

    Google Scholar 

  4. German, N., Niño, R., Li, F., Serquén, O.: A didactic model for virtual education leading to the development of competences in higher education at universities, vol. 1. IEEE Xplore (2021)

    Google Scholar 

  5. Chin, C.D., Hel, C., Pec, R.: Fab lab initiative in higher education: digital solutions diverted to traditional farming in Cambodia context, vol. 1. IEEE XPLORER (2021)

    Google Scholar 

  6. Qiu, X.: Research on the teaching of “Internet plus continuing education” from the perspective of Al, vol. 1. IEEE (2020)

    Google Scholar 

  7. Yang, H.-C., Wu, H.-B.: The application of SPOC-based deep learning model in psychological health education of college students in post-MOOC era, vol. 1. IEEE (2019)

    Google Scholar 

  8. Muhammad, Z.Z., Muhammad, I.A., Muhammad,R.F.: Switching to outcome-based education (OBE) system, a paradigm shift in engineering education, vol. 1, pp. 2–5. IEEE (2022)

    Google Scholar 

  9. Zhenliang, Z., Benyang, C., Jie, G., Dongdong, W., Yue, L., Yongtian, W.: Inverse virtual reality: intelligence-driven mutually mirrored world, p. 735. IEEE (2018)

    Google Scholar 

  10. Jiamin, P., Yue, L., Dongdong, W.: Comparison in depth perception between virtual reality and augmented reality systems, p. 1124. IEEE (2019)

    Google Scholar 

  11. Rozell, J., et al.: Circuit world: a multiplayer VE for researching engineering learning, p. 773. IEEE (2021)

    Google Scholar 

  12. Sarmento, L., Nunes, F., Santos Martins, R., Sepúlveda, J., Sena Esteves, J.: Remote control system for a mobile platform with four mecanum wheels. Int. J. Mechatron. Appl. Mech. 2017(1), 274–281 (2017)

    Google Scholar 

  13. Andaluz, V.H., Carvajal, C.P., Arteaga, O., Pérez, J.A., Valencia, F.S., Solís, L.A.: Unified dynamic control of omnidirectional robots. In: Gao, Y., Fallah, S., Jin, Y., Lekakou, C. (eds.) TAROS 2017. LNCS (LNAI), vol. 10454, pp. 673–685. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-64107-2_55

    Chapter  Google Scholar 

  14. Pruna, E., Andaluz, V.H., Proaño, L.E., Carbajal, C.P., Escobar, I., Pilatasig, M.: Construction and analysis of PID, fuzzy, p. 8. IEEE (2018)

    Google Scholar 

  15. Matute, A., Bernal Suárez, W.: Fuzzy logic techniques in control engineering. Universidad Antonio Nariño, pp. 10–11 (2016)

    Google Scholar 

  16. Ruge, R.: Optimización de señal de control en reguladores PID con arquitectura antireset Wind-Up. Universidad de Cundinamarca, pp. 8–9 (2011)

    Google Scholar 

  17. Zhang Peikun Wang Li, N.Z.: Sistema de tubería de suministro de oxígeno de separación de aire metalúrgico y método de operación del mismo, Beijing Guangyou, pp. 1–2 (2020)

    Google Scholar 

  18. Chen, C.-M., Liu, F.-H.: The discrete-time equivalent of an analogue controller by a compensated Approach. Int. J. Syst. Sci. 32, 287–294 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  19. Pradeepkannan, D., Sathiyamoorthy, S.: Control of a non-linear coupled spherical tank process, p. 130. IEEE (2014)

    Google Scholar 

  20. Andaluz, V.H., et al.: Unity3D-matlab simulator in real time for robotics applications. In: De Paolis, L.T., Mongelli, A. (eds.) AVR 2016. LNCS, vol. 9768, pp. 246–263. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-40621-3_19

    Chapter  Google Scholar 

  21. Andaluz, V.H., et al.: Modeling and control of a wheelchair considering center of mass lateral displacements. In: Liu, H., Kubota, N., Zhu, X., Dillmann, R. (eds.) ICIRA 2015. LNCS (LNAI), vol. 9246, pp. 254–270. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-22873-0_23

    Chapter  Google Scholar 

  22. Andaluz, V.H., Carvajal, C.P., Alex, S.G., Zambrano, V.D., Pérez, J.A.: Navigation and dynamic control of omnidirectional platforms. In: Gao, Y., Fallah, S., Jin, Y., Lekakou, C. (eds.) TAROS 2017. LNCS (LNAI), vol. 10454, pp. 661–672. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-64107-2_54

    Chapter  Google Scholar 

  23. Shekhar, Y., Rajat, K.S.: Optimized PI controller for an interacting, pp. 1–2. IEEE (2017)

    Google Scholar 

  24. Ampuero Atamari, E.A.: Diseño de un controlador dibuso sintonizado con computación evolutiva para una planta de desalinización de agua de mar ósmosis inversa. Universidad Nacional de san Agustín de Arequipa, Arequipa-Perú (2019)

    Google Scholar 

  25. Lin, G.E., Xie, Z., Yang, J.: Analysis of an automatic control system based on. In: International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), pp. 2–4 (2020)

    Google Scholar 

  26. Mayne, D.Q.: Model predictive control: recent developments and future promise. Atomatica 50, 2967–2986 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  27. Campos, J., Jaramillo, S., Morales, L., Camacho, O.: PSO tuning for fuzzy PD + I controller applied to a mobile robot trajectory control. In: International Conference on Information Systems and Computer Science (INCISCOS), pp. 62–68 (2018)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Pablo N. Granda .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Granda, P.N., Andaluz, V.H. (2023). Virtual Training System for Oxygen Distribution Control Through Hardware-in-the-Loop. In: Arai, K. (eds) Advances in Information and Communication. FICC 2023. Lecture Notes in Networks and Systems, vol 651. Springer, Cham. https://doi.org/10.1007/978-3-031-28076-4_54

Download citation

Publish with us

Policies and ethics