Tension Control Study in the Finishing Mill of Aluminum Hot Rolling Mills Based on PSO+CMAC

Abstract:

Aimed at decreasing the tension variation during transforming process of 1+4 aluminum hot rolling mills unit in one factory of Henan, we analyzed the factors affecting tension variation and improved the tension formula of hot rolling mills process considering the influence of tension on forward slip value. The tension forming process of hot rolling mills from stand 1 to stand 4 is simulated, and the tension structure diagrams of the four-stands are constructed. Due to non-linear characteristics of the aluminum hot rolling mills tension system, conventional PID controller could not meet the requirement of the system. So we proposed the mixed control of Cerebellar Model Articulation Controller (CMAC) coupled with PID to solve the problem of online parameters control and we used Particle Swarm Optimization (PSO) algorithm to optimize PID controller parameters. By simulation, it could be found that the using of PSO+CMAC significantly reduced surplus adjustment and transition time, and strip tension coupling degree among stands was also reduced.

• Periodical: Advanced Materials Research (Volumes 718-720)
• Pages: 1523-1530
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.718-720.1523
• Online since: July 2013
• Authors: Jing Ming Yang, Li Chen, Wan Hong Wang, Hai Jun Che
• Keywords: Aluminum Hot Rolling Mills, CMAC, Particle Swarm Optimization (PSO), Tension Influence Coefficient, Tension Model

References

[1] Ding X K. Rolling process automation[M]. Beijing: Metallurgical Industry Press, 2009.

[2] F. Janabi-Sharifi. Neuro-Fuzzy Tension Controller for Tandem Rolling[C] // Proceedings of the 2002 IEEE International Symposium on Intelligent Control. Vancouver, Canada, 2002: 309-314.

DOI: 10.1109/isic.2002.1157781

[3] Ikuya Hoshio, Yoshihide Okamura, Hidenori Kimura. Observe-based Multivariable Tension Control of Aluminum Hot Rolling Mills[C] // Proceedings of the 35th Conference on Decision and Control. Kobe, Japan, 1996: 1217-1222 .

DOI: 10.1109/cdc.1996.572659

[4] Yang J M, Li L F, Che H J. Tension analysis and simulation in the two stands aluminium strio cold rolling mill[J]. Light Metals. 2011,(6):50-55.

[5] John Pittner, Marwan A.Simaan. Optimal Control of Continuous Tandem Cold Metal Rolling[C] // 2008 American Control Conference. USA, 2008: 1379-1390.

DOI: 10.1109/acc.2008.4586923

[6] Xu G. Analysis on Tension Creation Process during Strip Threading in 350mm Three Stand Cold Mill[J]. Research on Iron & Steel. 1999, 2:39-43.

[7] Hang S H. Plastic deformation and rolling theory[M]. Metallurgical Industry Press, 2002.

[8] Chen B S. Automatic control system of electric driver. Beijing[M]: China Machine Press, 2000.

[9] Guo D Q, Li X, Zhao Y J. Self-tuning of PID Parameters Based on Improved PSO Algorithm[J]. Computer Engineering, 2007, 33(18): 202-204.

[10] Lei J Z, Wang B S, Wang M L. Study of Constant Tension Control System Based on CMAC[J]. Packaging Engineering , 2009, 30(8):12-15.

[11] X.Guang, Z. Haizhou, Y. Jie. Application of Adaptive Control of a Tandem Cold Mill[C]. Modernization of Steel Rolling, 1998:586-591.