Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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A Study on the Temperature Control of a TV-Glass Melting Furnace Using the Conventional Advanced Control

고전고급제어(Conventional Advanced Control)를 이용한 TV 브라운관 유리 용해로의 온도제어에 관한 연구

  • Published : 2000.09.01
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Abstract

A conventional advanced control algorithm is proposed in this paper for improved temperature regulation of a TV-glass melting furnace. The TV-Glass melting furnace is a typical MIMO(Multi-Input Multi Output) system which is subject to various thermal disturbances. Because of its complexity, a detailed mathematical model of the furnace is hard to establish. To design a temperature control control system of the furnace, major input-output variables are selected first, and simple FOPDT(First Order Plus Dead Time) models are established based on the physical meaning and experimental process data. Based on the FOPDT models, a multi-loop control system composed of cascade and single loops are designed for effective control of the MIMO system. Practical implementation on the 150 ton/day furnace using the DCS(Distributed Control System) showed that the proposed control technique performs better than manual control.

Keywords

References

  1. C. A. Smith and A. B. Corripio, Principles and Practice of Automatic Process Control, John Wiley & Sons, 1985
  2. William L. Luyden, Process Modeling, Simulation and Control for Chemical Engineers, McGraw-Hill, 1990
  3. 신준호, 조성일, 백기황, '모델예측제어 관련 기술', 제어·자동화·시스템 공학회지, vol. 5, no. 3, pp. 25-30, 1999
  4. R. Haber, J. Hetthessy, L. Keviczky, I. Vajk, A. Feher, N. Czeiner, 2. Csaazer, and A. Turi, 'Identification and adaptive control of a glass furnace', Automatica, vol. 17, pp. 175-185, 1981 https://doi.org/10.1016/0005-1098(81)90093-5
  5. S. Aoki, S. Kawachi, and M. Sugeno, 'Application of fuzzy control logic for dead time process in a glass melting furnace', Fuzzy Sets and Systems 38, pp. 251-265, 1990 https://doi.org/10.1016/0165-0114(90)90200-P
  6. M. Hadjili, A. Lendasse, V. Wertz. and S. Yurk ovich, 'Identification of fuzzy models for a glass-furnace process', Proc. of the 1998 IEEE International Conference on Control Applications, Trieste. Italy. pp. 963-968, September. 1998
  7. T. Soderstrom and P. Stoica, System Identification, Prentice Hall, 1989
  8. R. Johansson, System Modeling and Identification, Prentice Hall, 1993
  9. A. M. Lopez, P. W. Murrill, and C. L. Smith, 'Controller tuning relationships based on integral performance criteria'. Instrument Technology, vol. 14. no. 11, pp. 57, Nov., 1967
  10. F. G. Shinskey, Process Control Systems, McGraw-Hill, 1988
  11. Donald R. Coughanower, Process Systems Analysis and Control, McGraw-Hill, 1991
  12. Dale E. Seborg, Thomas F. Edgar, and Duncan A. Mellichamp, Process Dynamics and Control, John Willy & Sons, 1989