Skip to main content

PI and Sliding Mode Control of QUANSER QNET 2.0 HVAC System

  • 738 Accesses

Part of the Lecture Notes in Electrical Engineering book series (LNEE,volume 672)

Abstract

QUANSER QNET 2.0 heating, ventilation and air-conditioning (HVAC) system is a hardware setup developed by National Instruments to study and analyze the thermal equilibrium in a ventilation chamber. The system comprises a brushless DC motor operated fan, a pulse width modulated power amplifier voltage controller and a heating element. The process variable under control is the temperature in the chamber, and the manipulated variable is the voltage across the heating element. This work deals with the conventional PI controller and the latest sliding mode controlling technique to control the temperature in the chamber. LABVIEW and NI-ELVIS II were used for the implementation of the controller on to the hardware setup and also to provide the required interface. The results are compared, and sliding mode control is found to provide better control over the process variable in both transient and steady-state conditions of operation.

Keywords

  • QUANSER QNET 2.0 heating, ventilation and air conditioning
  • MATLAB
  • LABVIEW
  • NI-ELVIS-II

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-981-15-5558-9_92
  • Chapter length: 11 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   229.00
Price excludes VAT (USA)
  • ISBN: 978-981-15-5558-9
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   299.99
Price excludes VAT (USA)
Hardcover Book
USD   449.99
Price excludes VAT (USA)
Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

References

  1. Martin P et al (2014) Student Workbook-QNET 2.0 HVAC Board for NI-ELVIS. QUANSER, pp 2–6

    Google Scholar 

  2. Tashtoush B, Molhim M, Al-Rousan M (2005) Dynamic model of an HVAC system for control analysis. Energy 30(10):1729–1745

    Google Scholar 

  3. Afram A, Janabi-Sharifi F (2014) Review of modeling methods for HVAC systems. Appl Therm Eng 67(1–2):507–519

    Google Scholar 

  4. Zhang Q, Canova M, Rizzoni G (2013) Sliding mode control of an automotive air conditioning system. In: 2013 American control conference. Washington, DC, pp 5748–5753

    Google Scholar 

  5. Dullinger C, Struckl W, Kozek M (2018) A general approach for mixed-integer predictive control of HVAC systems using MILP. Appl Therm Eng 1646–1659

    Google Scholar 

  6. Afram A, Janabi-Sharifi F (2014) Theory and applications of HVAC control systems—a review of model predictive control (MPC). Building Enviro 72

    Google Scholar 

  7. Leephakpreeda T (2008) Grey prediction on indoor comfort temperature for HVAC systems. Expert Syst Appl

    Google Scholar 

  8. Homod RZ (2013) Review on the HVAC system modeling types and the shortcomings of their application. J Energy 2013, Article ID 768632

    Google Scholar 

  9. Kianfar K, Izadi-Zamanabadi R, Saif M (2014) Cascaded control of superheat temperature of an HVAC system via super twisting sliding mode control. IFAC Proc 47(3)

    Google Scholar 

  10. Anoop S, Sharma KR (2018) Model predictive control: Simulation studies for the implementation on vertical take-off and landing labprototype. Procedia Comput Sci 143:663–670

    CrossRef  Google Scholar 

  11. Vijayakumar V, Divya R, Vivek A (2014) Sliding mode controlled quadratic boost converter. In: International conference on computation of power, energy. information and communication (ICCPEIC)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jerry Jacob .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Verify currency and authenticity via CrossMark

Cite this paper

Jacob, J., Selvakumar, S. (2020). PI and Sliding Mode Control of QUANSER QNET 2.0 HVAC System. In: Sengodan, T., Murugappan, M., Misra, S. (eds) Advances in Electrical and Computer Technologies. Lecture Notes in Electrical Engineering, vol 672. Springer, Singapore. https://doi.org/10.1007/978-981-15-5558-9_92

Download citation

  • DOI: https://doi.org/10.1007/978-981-15-5558-9_92

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-5557-2

  • Online ISBN: 978-981-15-5558-9

  • eBook Packages: Computer ScienceComputer Science (R0)