Decoupling Control Strategy of Alkali Recovery Furnace

Yan Li; Xuanzi Chu; Qingyu Dai

doi:10.7584/JKTAPPI.2021.08.53.4.87

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2021 Vol.53, Issue 4 Preview Page Next Page

Decoupling Control Strategy of Alkali Recovery Furnace

30 August 2021. pp. 87-97

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Abstract

In order to analyze the correlation between the variables in the combustion process of the alkali recovery furnace, this paper uses the control variable method to design the combustion process experiment of the alkali recovery furnace in the actual field. Through the analysis of the experimental results, it is shown that the first two of the three key parameters of furnace temperature, flue gas oxygen content, and furnace negative pressure have a strong coupling relationship, while the interaction between furnace temperature, flue gas oxygen content and furnace negative pressure is relatively weak. For this reason, this paper introduces the linear active disturbance rejection control strategy into the control of the alkali recovery furnace, regards the mutual influence between variables as disturbances, designs disturbance observers for estimation, and designs error feedback control laws to compensate. The results of simulation and actual operation show that, compared with the traditional PID controller, the control strategy can effectively eliminate the mutual interference between variables, and obtain a better control effect, to ensure that the alkali recovery furnace can run more safely, stably, and efficiently.

Keywords

Alkali recovery furnace

linear active disturbance rejection control

decoupling control

References

Literature Cited

Sun, J., Zhong, W. M., and Sun, Y. X., Current status and prospects of the control of the black liquor combustion process in the alkali recovery furnace, China Paper Journal 3(2):205-208 (2003).

Zhang, Y. F., Xu, L. W., Chen, P., and Su, Z. G., Fuzzy control of circulating fluidized bed boiler combustion system, Journal of Southeast University (Natural Science Edition) 42(02):308-313 (2012).

Dong, Z., Sun, J., and Zhang, Y. Y., CFB boilerbed temperature’s improved fuzzy control, Pro-ceedings of Chinese Control and Decision Conference, pp. 1952-1956 (2009)．

Feng, X. G., Bao, L. C., Zhang, J. Y., and Wang, S., IGPC decoupling control based multi-objective cooperative combustion optimization control strategy for thermal power units, Proceedings of the Chinese Society of Electrical Engineering 41(9):3223-3232 (2021).

Zhao, Y., Sun, L. J., Wu, X., Chen, Z. Q., and Tang, B., Application of multivariable decoupling auto disturbance rejection control in gas flow device, CIESC Journal 68(9):3482-3493 (2017).

Niu, P. F., Gao, L., and Meng, F. D., Adaptive fuzzy control of circulating fluidized bed boiler combustion system based on neural network decoupling, Chinese Journal of Scientific Instrument 32(5):1021-1025 (2011)．

Li, Y., Chen, Q., and Wei, F., Research on modeling and dynamic characteristics analysis of alkali recovery furnace, Journal of Korea TAPPI 3(6):15-32 (2020).

Li, P. W. and Wang, J., Linear auto disturbance rejection decoupling control of multi-variable system in smooth rolling, Journal of Wuhan University of Science and Technology 42(5):339-342 (2019).

Information

Publisher :Korea Technical Association of The Pulp and Paper Industry
Publisher(Ko) :한국펄프종이공학회
Journal Title :Journal of Korea TAPPI
Journal Title(Ko) :펄프종이기술
Volume : 53
No :4
Pages :87-97
Received Date : 2021-04-01
Revised Date : 2021-08-08
Accepted Date : 2021-08-10
DOI :https://doi.org/10.7584/JKTAPPI.2021.08.53.4.87

Journal of Korea TAPPI ISSN:0253-3200(Print) 펄프종이기술

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Literature Cited