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Single Step Response Based Method for the Simple Identification of Wiener-type Nonlinear Process

단일 계단 응답에 근거한 Wiener형 비선형 공정의 간편한 모델 확인 방법

  • Sanghun, Lim (Department of Chemical Engineering, Kyungpook National University) ;
  • Jea Pil, Heo (Department of Chemical Engineering, Kyungpook National University) ;
  • Su Whan, Sung (Department of Chemical Engineering, Kyungpook National University) ;
  • Jietae, Lee (Department of Chemical Engineering, Kyungpook National University) ;
  • Friedrich Y., Lee (LX Hausys America)
  • 임상훈 (경북대학교 화학공학과) ;
  • 허재필 (경북대학교 화학공학과) ;
  • 성수환 (경북대학교 화학공학과) ;
  • 이지태 (경북대학교 화학공학과) ;
  • 이용제
  • Received : 2022.08.06
  • Accepted : 2022.09.30
  • Published : 2023.02.01

Abstract

The Wiener-type nonlinear model where a static nonlinear block follows a dynamic linear block is widely used to describe the dynamics of chemical processes. A long process excitation step is typically needed to identify this Wiener-type nonlinear model with two blocks. In order to cope with this disadvantage, an identification method for the Wiener-type nonlinear model that uses only a single-step response is proposed here. The proposed method estimates the response of the dynamic linear sub-block from the initial part of the step response, and then the static nonlinear sub-block is identified. Because the only single-step response is used to identify the Wiener-type nonlinear model, there is great benefit in time and cost for obtaining process response. The performance of the proposed identification method with the single-step response is verified through a representative Wiener-type nonlinear process, a pH titration process, and a liquid level system.

동적 선형 블록과 정적 비선형 블록이 직렬로 연결되어 있는 Wiener형 비선형 모델은 여러 화학 공정의 동특성을 묘사하는데 널리 사용되는데, Wiener형 비선형 공정의 모델 확인은 다소 긴 공정 활성화 데이터가 필요하다. 본 연구는 이러한 단점을 보완하기 위하여 단일 계단 응답으로부터 Wiener형 비선형 공정 모델을 찾아낼 수 있는 새로운 모델 확인 방법을 제안한다. 제안된 방법은 계단 응답의 초기 응답으로부터 선형 동적 블록의 예측 응답을 얻어 선형 동적 블록의 모델을 확인하고, 이어서 비선형 정적 블록의 모델을 확인한다. 본 방법은 단일 계단 응답만을 사용하여 공정 모델 확인을 위해 필요한 공정 응답을 얻는 과정에서 시간과 비용적으로 큰 이득을 얻을 수 있다. 제안된 공정 확인 방법의 성능은 대표적인 Wiener형 비선형 공정인 pH 적정 공정과 액위 공정을 대상으로 검증되었다.

Keywords

References

  1. Pajunen, G., "Adaptive Control of Wiener Type Nonlinear Systems," Automatica., 28, 781-785(1992). https://doi.org/10.1016/0005-1098(92)90037-G
  2. Sung, S. W. and Lee, J., "Modeling and Control of Wiener-type Processes," Chem. Eng. Sci., 59, 1515-1521(2004). https://doi.org/10.1016/j.ces.2003.10.028
  3. Lee, J. and Choi, J. Y., "In-line Mixer for Feedforward Control and Adaptive Feedback Control of pH Processes," Chem. Eng. Sci., 55, 1337-1345(2000). https://doi.org/10.1016/S0009-2509(99)00407-8
  4. Srihawan, T., Panjapornpon, C. and Tawai, A., "Optimization-based Input/output Linearizing Control Strategy for a pH Process with Multiple Titrant Streams," Ind. Eng. Chem. Res., 57, 13793-13801(2018). https://doi.org/10.1021/acs.iecr.8b02973
  5. Heo, J. P., Sung, S. W., and Lee, J., "Real-Time Optimization of a CO Preferential Oxidation Reactor Temperature with Extremum Seeking Control Techniques," ACS Omega., 5, 13822-13828(2020). https://doi.org/10.1021/acsomega.0c01145
  6. Xia, Y., Zou, J., Yan, W. and Li, H., "Adaptive Tracking Constrained Controller Design for Solid Oxide Fuel Cells Based on a Wiener-type Neural Network," Appl. Sci., 8, 1758(2018).
  7. Bedi, P. S., Methekar, R. N., Patwardhan, S. C., Prasad, V. and Gudi, R. D., "Nonlinear Internal Model Control of Pem Fuel Cell," IFAC Proc., 40, 101-106(2007).
  8. Bloemen, H. H. J., Chou, C. T., Van den Boom, T. J. J., Verdult, V., Verhaegen, M. and Backx, T. C., "Wiener Model Identification and Predictive Control for Dual Composition Control of a Distillation Column," J. Process Control., 11, 601-620(2001). https://doi.org/10.1016/S0959-1524(00)00056-1
  9. Hagenblad, A., Aspects of the identification of Wiener models, (1999).
  10. Park, H. C. and Lee, J., "Step and Pulse Response Methods for Identification of Wiener Processes," AIChE J., 52, 668-677(2006). https://doi.org/10.1002/aic.10690
  11. Sung, S. W., Je, C. H., Lee, J. and Lee, D. H., "Improved System Identification Method for Hammerstein-Wiener Processes," Korean J. Chem. Eng., 25, 631-636(2008). https://doi.org/10.1007/s11814-008-0105-3
  12. Edgar, T. F. and Lapidus, L., "The Computation of Optimal Singular Bang-bang Control II. Nonlinear Systems," AIChE J., 18, 780-785(1972). https://doi.org/10.1002/aic.690180420
  13. Lee, F. Y., Edgar, T. F., Baldea, M. and Lee, J., "Minimized Test Times for Step and Pulse Responses of Slow Linear Processes," Ind. Eng. Chem. Res., 58, 12116-12123(2019). https://doi.org/10.1021/acs.iecr.9b01609
  14. Lee, J., "Experimental Test Time Reduction Method for Step Responses Using the Time-Optimal Control Technique," Korean Chem. Eng. Res., 58, 190-196(2020).
  15. Seborg, D. E., Edgar, T. F., Mellichamp, D. A. and Doyle III, F. J., Process dynamics and control, John Wiley & Sons, 2016.
  16. Sung, S. W., Lee, J. and Lee, I.-B., Process identification and PID control, John Wiley & Sons, 2009.
  17. Norquay, S. J., Palazoglu, A. and Romagnoli, J. A., "Application of Wiener Model Predictive Control (WMPC) to a pH Neutralization Experiment," IEEE Trans. Control Syst. Technol., 7, 437-445(1999). https://doi.org/10.1109/87.772159
  18. Obut, S. and Ozgen, C., "Online Identification and Control of pH in a Neutralization System," Ind. Eng. Chem. Res., 47, 4394- 4404(2008). https://doi.org/10.1021/ie070492p
  19. Lee, J., Kyoung, I., Heo, J. P., Park, Y., Lim, Y., Kim, D. H., Lee, Y. and Yang, D. R., "A Simple Method to Make the Quadruple Tank System Near Linear," Korean Chem. Eng. Res., 55, 767-770(2017). https://doi.org/10.9713/KCER.2017.55.6.767