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

Skip to main content

Hardware-in-the-Loop of a Flow Plant Embedded in FPGA, for Process Control

  • Conference paper
  • First Online:
Intelligent Manufacturing and Energy Sustainability

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 169))

Abstract

It presents the simulation through the Hardware-in-the-loop (HIL) technique of a flow plant. The mentioned system is designed in the LabVIEW software and implemented in an FPGA. As a result of the system tests performed in manual mode, an absolute error of 0.02 is obtained in the simulated instruments. In addition, two controllers are designed (continuous and discrete), and the results indicate that the system works in real time and does not generate disturbances in response to the implemented controls.

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 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover 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. Peixoto, D.C., Resende, R.F., Pádua, C.I.: An educational simulation model derived from academic and industrial experiences. In: 2013 IEEE Frontiers in Education Conference (FIE), Oklahoma City. OK, 691–697 2013

    Google Scholar 

  2. Chao, Z., et al.: Automatic control process analysis of gas pressure in electrostatic discharge measurement system. In: 2015 7th Asia-Pacific Conference on Environmental Electromagnetics (CEEM). Hangzhou, 202–205 2015

    Google Scholar 

  3. Pruna, E., Chang, O., Jimenez, D., Perez, A., Avila, G., Escobar, I., Constante, P., Gordon, A.: Building a training module for modern control. In: 2015 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON) 2015

    Google Scholar 

  4. Krishnan, B., Pillai, A.: Digital sensor simulation frame work for hardware-in-the-loop testing. In: 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT), Kannur, 813–817 2017. https://doi.org/10.1109/icicict1.2017.8342669

  5. Daffaie, H., Baniyounis, M., Tutunji, T., Lohöfener, M.: Temperature control of a heat sink based on hardware in the loop. In: 2018 15th International Multi-Conference on Systems. Signals & Devices (SSD), Hammamet, 366–370 2018

    Google Scholar 

  6. Bertoletti, L., Ragaini, E., Liu, J.: Hardware-in-the-loop simulation for testing low voltage circuit breakers selectivity. In: 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I & CPS Europe), Milan, 1–5 2017

    Google Scholar 

  7. Kumarin, A., Kuznetsov, A., Makaryants, G.: Hardware-in-the-loop neuro-based simulation for testing gas turbine engine control system. In: 2018 Global Fluid Power Society Ph.D. Symposium (GFPS), Samara, 1–5 2018

    Google Scholar 

  8. Zhou, Y., Qi, B., Huang, S., Jia, Z.: Fuzzy PID Controller for FOPDT system based on a hardware-in-the-loop simulation. In: 2018 37th Chinese Control Conference (CCC), Wuhan, 3382–3387 2018. https://doi.org/10.23919/chicc.2018.8482632

  9. Huo, Y., Gruosso, G., Piegari, L.: Power hardware in the loop simulator of photovoltaic plant for smart grid interation analysis. In: 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I & CPS Europe), Milan, 1–5 2017. https://doi.org/10.1109/eeeic.2017.7977629

  10. Casellas, F, et al.: Simulaciónmediante “hardware in the loop” de un convertidor Buck. A: Annual Seminar on Automation, Industrial Electronics and Instrumentation. In: Proceedings of the XXI Annual Seminar on Automation, Industrial Electronics and Instrumentation. Universitat Rovira i Virgili, Tangier, 1–5 2014

    Google Scholar 

  11. Caldas, O., et al.: Sistema de control de una planta embebida en fpga empleando hardware-in-the-loop. Dyna. 80(179), 51–59 (2013). ISSN 2346-2183

    Google Scholar 

  12. Pruna, E., Andaluz, V, Proaño, L.E., Carvajal, C.P., Escobar, I., Pilatásig, M.: Construction and analysis of PID, fuzzy and predictive controllers in flow system. In: 2016 IEEE International Conference on Automatica (ICA-ACCA), Curico, 1–7 2016

    Google Scholar 

  13. Pruna, E., Rosero, M., Pogo, R., Escobar, I., Acosta, J.: Didactic system for process control learning: case study flow control. In: Rocha, A., Adeli, H., Reis, L., Costanzo, S. (eds.) Trends and Advances in Information Systems and Technologies. World CIST’18 2018. Advances in Intelligent Systems and Computing, vol. 746. Springer, Cham (2018)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Edwin Pruna .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Pruna, E., Jimenez, I., Escobar, I. (2020). Hardware-in-the-Loop of a Flow Plant Embedded in FPGA, for Process Control. In: Reddy, A., Marla, D., Simic, M., Favorskaya, M., Satapathy, S. (eds) Intelligent Manufacturing and Energy Sustainability. Smart Innovation, Systems and Technologies, vol 169. Springer, Singapore. https://doi.org/10.1007/978-981-15-1616-0_17

Download citation

  • DOI: https://doi.org/10.1007/978-981-15-1616-0_17

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-1615-3

  • Online ISBN: 978-981-15-1616-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics