Commenced in January 2007
Paper Count: 32586
Design of a Fuzzy Feed-forward Controller for Monitor HAGC System of Cold Rolling Mill
Abstract:In this study we propose a novel monitor hydraulic automatic gauge control (HAGC) system based on fuzzy feedforward controller. This is used in the development of cold rolling mill automation system to improve the quality of cold strip. According to features/ properties of entry steel strip like its average yield stress, width of strip, and desired exit thickness, this controller realizes the compensation for the exit thickness error. The traditional methods of adjusting the roller position, can-t tolerate the variance in the entry steel strip. The proposed method uses a mathematical model of the system together with the expert knowledge to perform this adjustment while minimizing the effect of the stated problem. In order to improve the speed of the controller in rejecting disturbances introduced by entry strip thickness variations, expert knowledge is added as a feed-forward term to the HAGC system. Simulation results for the application of the proposed controller to a real cold mill show that the exit strip quality is highly improved.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1079524Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2138
 X. Yuan Xu, Z. Wei Bu, Y. Li Cai, and X. Yan XU, "Fuzzy logic based thickness control system and its simulation" IEEE Trans. The 1st International Conference on Information Science and Engineering (ICISE), 2009, pp. 3792-3795.
 H. Wang, Y. Rong, S. Liu, and J. Cui, "Identification for hydraulic AGC system of strip mill based on neural networks" IEEE Trans. 2010 International Conference on Computer Design and Applications (ICCDA), 2010, pp. 377-380.
 S. Jie , Z. Dian-hua , L. Xu, Z. Jin, and D. De-shun, "Smith prediction monitor AGC based on fuzzy self-tuning PID control" Journal of Iron and Steel Research, International, 2010, 17(2), pp. 22-26.
 D. Zhang, H. Zhang, T. Sun, and X. Li, "Monitor automatic gauge control strategy with a Smith predictor for steel strip rolling" Journal of University of Science and Technology Beijing, vol. 15, no. 6, December 008, pp. 827-832.
 J. M. Enguita, C. Frag, A. A. Cuadrado, Y. Fernandez, J. L. Rendueles, and G. Vecino, "Thickness quality control" IEEE Industr Application Magazine, 2006, pp.12-20.
 G. Zheng and Q. Qing-Qu, "Research on periodical fluctuations identification and compensation control method for export thickness in rolling mill " Proceedings of the Eighth International Conference on Machine Learning and Cybernetics, Baoding, 12-15 July 2009, pp. 1972-1977.
 G. Hwang, H. S. Ahn, D. H. Kim, T. W. Yoon, S. R. Oh, and K. B. Kim, "Design of a robust thickness controller for a single-stand cold rolling mill" Proceedings of the 1996 IEEE International Conference on Control Applications, 1996, pp. 680-473.
 W. Yiqun, S. Menghui, Z. Wei, F. Y. C Gang, and Z. Qisheng, "Research on feed-forward control system of tandom cold rolling mill-s hydraulic AGC and its computer control strategy" Automation Technology and Robotics, International Technology and Innovation Conference, 2007, pp.2093-2098.
 N. Romani, E. Ceanga, I. Bivol, and S. Caraman, "Adaptive automatic gauge control of a cold strip rolling process" Advances in Electrical and Computer Engineering, vol. 10, no. 1, 2010, pp.7-17.
 M. Dong, C. Liu, and G. Li, "Robust fault diagnosis based on nonlinear model of hydraulic gauge control system on rolling mill" IEEE Transactions on Control Systems Technology, vol. 18, no. 2, march 2010, pp. 510-515.
 S. Bouazza and H. A. Abbassi, "Model based control system for hot steel strip rolling mill stands " Asian Journal of Information Technology 6(2), 2007, pp. 246-253.
 H. Tuysserkani, Metal forming, Esfahan, 2002, pp. 149-154.
 P. H. Hu and K. F. Ehmann, "Fifth octave mode chatter in rolling" Proceedings of the Institution of Mechanical Engineers, Part B, Journal of Engineering Manufacture, vol. 215, 2001, pp. 797-809.