Advertisement

Design a Temperature Control System Using Halogen Lamp

  • Nam H. Nguyen
  • Tung X. Vu
  • Cuong K. Pham
  • Hai V. Bui
  • Du H. DaoEmail author
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 104)

Abstract

In this paper, a temperature control system based on Halogen lamp is designed for education and training purpose, which is low cost, energy saving and less time consuming for student’s experimental task. The designed system consists of a box made of plastic and aluminum, a 300 W Halogen lamp, a temperature sensor, an Arduino Uno R3 based microprocessor, a triac BT137-600E by NXP Semiconductors and 220 V–50 Hz power supply. First, a transfer function from power to temperature is obtained through system identification based on a unit step response. Then, a PID controller is designed for the temperature. Finally, the temperature control system is verified through experimental tests. The results show that the temperature converges to the set-point with short settling time and small overshoot. The average time period for doing system identification and real-time control is quite small for student analyzing and performing experimental tasks. Moreover, since the cost of the designed system is cheap, it is possible to provide a system to each student for experiments. In addition, it can be also used as a testbed for verifying new control algorithms.

Keywords

Temperature control PID System identification 

Notes

Acknowledgments

This research is funded by the Hanoi University of Science and Technology (HUST) under project number T2018-PC-052. This research is funded by Thai Nguyen University of Technology (TNUT) under project number T2018-B35.

References

  1. 1.
    Nguyen, N.H., Tran, D.T.: Neural network based model reference control for electric heating furnace with input saturation. In: 2019 First International Symposium on Instrumentation, Control, Artificial Intelligence, and Robotics (ICA-SYMP), Bangkok, Thailand, pp. 111–114 (2019).  https://doi.org/10.1109/icasymp.2019.8646052
  2. 2.
    Nguyen, N.H., Dung, V.N., Tran, D.T.: Neural network based temperature predictor for slabs in continuous reheating furnaces. In: Regional Conference on Electrical and Electronics Engineering, Hanoi, November 2016Google Scholar
  3. 3.
    Nam, H.N., Phuoc, D.N.: Overshoot and settling time assignment with pid for first-order and second-order systems. IET Control Theory Appl. 12(17), 2407–2416 (2018)MathSciNetCrossRefGoogle Scholar
  4. 4.
    Le, H.T.T., Nguyen, N.H., Nguyen, P.D.: PID adaptive tuning with the principle of receding horizon. In: Fujita, H., Nguyen, D., Vu, N., Banh, T., Puta, H. (eds) Advances in Engineering Research and Application. ICERA 2018. Lecture Notes in Networks and Systems, vol. 63. Springer, Cham (2019)Google Scholar
  5. 5.
    Datasheets for the temperature sensor DS18B20. https://datasheets.maximintegrated.com/en/ds/DS18B20.pdf
  6. 6.
  7. 7.
  8. 8.
  9. 9.
    Firouzbahrami, M., Nobakhti, A.: Reliable computation of PID gain space for general second-order time-delay systems. Int. J. Control 90(10), 1–13 (2017)MathSciNetCrossRefGoogle Scholar
  10. 10.
    Grimholt, C., Skogestad, S.: Optimal PI and PID control of first-order plus delay processes and evaluation of the original and improved SIMC rules. J. Process Control 70, 36–46 (2018)CrossRefGoogle Scholar
  11. 11.
    Wang, D.J.: Synthesis of PID controllers for high-order plants with time-delay. J. Process Control 19, 1763–1768 (2009)CrossRefGoogle Scholar
  12. 12.
    Ziegler, J.G., Nichols, N.B.: Optimum settings for automatic controllers. Trans. ASME 64, 759–768 (1942)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Nam H. Nguyen
    • 1
    • 2
  • Tung X. Vu
    • 3
  • Cuong K. Pham
    • 1
    • 2
  • Hai V. Bui
    • 1
    • 2
  • Du H. Dao
    • 3
    Email author
  1. 1.Princeton UniversityPrincetonUSA
  2. 2.Department of Automatic Control, School of Electrical EngineeringHanoi University of Science and TechnologyHanoiVietnam
  3. 3.Thai Nguyen University of TechnologyThai NguyenVietnam

Personalised recommendations