Journal of Power System Engineering (동력기계공학회지)

The Korean Society for Power System Engineering (한국동력기계공학회)
권호 표지
DOI QR코드

DOI QR Code

Optimum PI Controller Design for an Oil Cooler System Using GA

GA를 이용한 오일쿨러시스템의 최적 PI제어기 설계

  • Jung, Young-Mi (Department of Refrigeration and Air-conditioning Engineering, Pukyong National University) ;
  • Jeong, Seok-Kwon (Department of Refrigeration and Air-conditioning Engineering, Pukyong National University)
  • 정영미 (부경대학교 냉동공조공학과) ;
  • 정석권 (부경대학교 냉동공조공학과)
  • Received : 2014.06.10
  • Accepted : 2014.09.11
  • Published : 2014.10.31
Download PDF
⟨ Previous Next ⟩

Abstract

This paper deals with optimum PI controller design using genetic algorithm to improve control performance and robustness for an oil cooler system. The optimum PI gain was found to minimize an object function, integrated absolute error, and to satisfy control design specifications such as overshoot and settling time based on practical transfer function of the oil cooler system. The control performance and robustness were investigated by comparing indicial responses and Bode diagram analysis with respect to three kinds of PI gains obtained from different gain decision manners. Moreover, the robustness against to input disturbances, sinusoidal wave form and abrupt single pulse, was evaluated. The computer simulation results showed that the suggested optimum gain can establish desirable control performance and strong robustness with easy design process.

Keywords

References

  1. S. W. Lee, H. K. Yeom and K. J. Park, 2009, "Performance of Hot Gas Bypass Type Oil Cooler System", Journal of Korea Society for Precision Engineering, Vol. 26, No. 3, pp. 73-80.
  2. Y. M. Jung, J. Y. Byun, J. I. Yoon and S. K. Jeong, 2009, "A Study on High Precision Temperature Control of an Oil Cooler for Machine Tools Using Hot-gas Bypass Method", Journal of the Korean Society of Marine Engineering, Vol. 33, No. 7, pp. 1003-1011. https://doi.org/10.5916/jkosme.2009.33.7.1003
  3. S. K. Jeong, D. B. Lee and J. I. Yoon, 2012, "Comparison of System Performances of Hot-gas Bypass and Compressor Variable Speed Control of Water Coolers for Machine Tools", KJACR, Vol. 24, No. 1, pp. 1-8. https://doi.org/10.6110/KJACR.2012.24.1.001
  4. H. Li, S. K. Jeong and S. S. You, 2009, "Feedforward Control of Capacity and Superheat for a Variable Speed Refrigeration System", Applied Thermal Engineering, Vol. 29, pp. 1067-1074. https://doi.org/10.1016/j.applthermaleng.2008.05.022
  5. S. K. Jeong and S. H. Kim, 2011, "Optimum Controller Design of a Water Cooler for Machine Tools Based on the State Space Model", KJACR, Vol. 23, No. 12, pp. 782-790. https://doi.org/10.6110/KJACR.2011.23.12.782
  6. S. K. Jeong and J. Y. Byun, 2010, "Design of PI and Feedforward Controller for Precise Temperature Control of Oil Cooler System", KSPSE, Vol. 14, No. 6, pp. 89-95.
  7. S. K. Jeong, J. Y. Byun, S. H. Kim and J. I. Yoon, 2011, "Precise Temperature Control of Oil Coolers with Hot-gas Bypass Manner for Machine Tools Based on PI and Feedforward Control", KJACR, Vol. 23, No. 2, pp. 111-119. https://doi.org/10.6110/KJACR.2011.23.2.111
  8. S. R. Oh, 2009, "The Design of PI Controller Using a Saturation Function in Frequency Domain", Information and Control Symposium, pp. 326-328.
  9. M. J. Kim, Y. H. Lee, M. O. So, Y. S. Ha, S. W. Hwang and G. K. Jin, 2007, "Tuning Rules of the PID Controller Using RCGAs", Journal of the Korea Society of Marine Engineering, Vol. 31, No. 4, pp. 448-454. https://doi.org/10.5916/jkosme.2007.31.4.448
  10. D. H. Park, S. J. Ji and J. T. Lee, 2004, "Attitude Control of Helicopter Simulator System using A Hybrid GA-PID Wavenet Controller", The transactions of the Korean Institute of Electrical Engineers, D, Vol. 53 No.6, pp. 433-439.
  11. A. Tsukahara and A. Kanasugi, 2009, "Genetic Algorithm with Dynamic Variable Number of Individuals and Accuracy", International Journal of Control, Automation and Systems, Vol. 7, No. 1, pp. 1-6. https://doi.org/10.1007/s12555-009-0101-3
  12. S. K. Jeong and K. H. Hong, 2013, "Optimal PI Controller Design for Refrigeration System Considering Disturbance", KJACR, Vol. 25, No. 2, pp. 85-93. https://doi.org/10.6110/KJACR.2013.25.2.085
  13. D. E. Goldberg, 1989, "Genetic Algorithms in Search, Optimization and Machine Learning", Addison-Wesley, ISBN 978-0-201-15767-3.

Cited by

  1. PI Controller Design Based on Characteristic Parameters and Zero Position Adjustment for an Oil Cooler System vol.20, pp.4, 2016, https://doi.org/10.9726/kspse.2016.20.4.083
  2. PI Controller Design of the Refrigeration System Based on Dynamic Characteristic of the Second Order Model vol.18, pp.6, 2014, https://doi.org/10.9726/kspse.2014.18.6.200
  3. Practical Modeling and PI Controller Design for Centrifugal Water Chillers vol.27, pp.4, 2015, https://doi.org/10.6110/KJACR.2015.27.4.187
  4. Operating Number Control of Compressors Based on Cooperative Logic for a High Efficiency Centrifugal Water Chiller vol.27, pp.5, 2015, https://doi.org/10.6110/KJACR.2015.27.5.233