Abstract
A temperature control system of 31m vertical forced air-circulation quench furnace is proposed, which is a kind of equipment critical for thermal treatment of aluminum alloy components that are widely used in aerospace industry. For the effective operation of the furnace, it is essential to analyze the radial temperature distribution of the furnace. A set of thermodynamic balance equations modeling is established firsdy. By utilizing the numerical analysis result to modify the temperature measurements, the control accuracy and precision of the temperature are truly guaranteed. Furthermore, the multivariable decoupling self-learning PID control algorithm based on the characteristics of strong coupling between the multi-zones in the large-scaled furnace is implemented to ensure the true homogeneity of the axial temperature distribution. Finally, the redundant structure composed of industrial control computers and touch panels leads to great improvement of system reliability.
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References
H. Sauermann, C. Stenzel, S. Keesmann, et al. High-stability control of multizone furnaces using optical fibre thermometers [J]. Crystal Research and Technology, 2001, 36(12): 1329–1343.
A. F. Gilbert, A. Yousel. Tuning of PI controllers with one-way decoupling in 2 × 2 MIMO systems based on finite frequency response data [J]. J. of Process Control, 2003, 13(6): 553–567.
C. Lazar, E. Poli, B. Mustafa. Implementation of a predictive controller for thermal treatment processes [J]. Control Engineering Practice, 2000, 8(3): 345–350.
Z. Zhao. The study of the generalized predictive control algorithm with the MIMO and its applications [J]. Control Theory & Applications, 1999, 16(4): 529–531.
C. Lin, F. Tian. Research on the process control model of aluminium heat-treatment furnace with forced convection [J]. Industrial Heating, 2001, 11(1): 27–30.
C. Liu, Y. Y. San. Model and simulation of the furnace temperature uniformity of pit type heating furnace [J]. Industrial Heating, 2000, 10 (6): 12–15.
X. Zhou, S. Yu, J. He. Temperature intelligent control system for quenching furnace based on analysis of temperature distribution [J]. Information and Control, 2003, 32(4): 371–375.
X. Li, F. Zhou. Multivariable fuzzy decoupling control applied to temperature control of hydrogen sintering furnace [J]. J. of Northwestern Polytechnical University, 1995,13 (1): 56–59.
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It was supported by the National Natural Science Foundation of China (No.59835170).
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Zhou, X., Yu, S., Yu, J. et al. Multivariable temperature measurement and control system of large-scaled vertical quench furnace based on temperature field. J. Control Theory Appl. 2, 401–405 (2004). https://doi.org/10.1007/s11768-004-0047-1
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DOI: https://doi.org/10.1007/s11768-004-0047-1