The Smith Predictor Control of Argon-Bottom-Blowing Supply System with Time-Delay

Article Preview

Abstract:

The process of Argon-bottom-blowing is widely used in steelmaking, Argon is used to stir molten steel fully and uniform the composition and temperature to improve the quality of molten steel. In this paper, Argon-bottom-blowing supply system is selected as the research object, there exits big delay because of the long gas pipeline. In order to overcome the adverse effect of time-delay, the reasonable Smith predictor is designed, which try to make PID regulator act in advance and reduce system overshoot amount. The simulation results show Smith predictor and PID controller are connected in parallel, the influence of time-delay can be eliminated and satisfactory control effect can be obtained.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1383-1386

Citation:

Online since:

August 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Shen J, Zhao Y, Han G. Design on Optimization of Argon Bottom Blowing of Molten Steel ladle [J]. Procedia Engineering, 2011, 16: 284-290.

DOI: 10.1016/j.proeng.2011.08.1085

Google Scholar

[2] Shi R G, Wang Z Y, Yang S G, et al. Refining Molten Steel with Argon Blowing by Metal Nozzle Mold Bottom[J]. Applied Mechanics and Materials, 2014, 496: 357-361.

DOI: 10.4028/www.scientific.net/amm.496-500.357

Google Scholar

[3] Li Z, Dai Wei C C, Xinjun J, et al. A Study on Water Model for 120 t Ladle Bottom Argon Blowing Process [J][J]. Special Steel, 2012, 4: 004.

Google Scholar

[4] Sierociuk D, Macias M. Comparison of variable fractional order PID controller for different types of variable order derivatives[C]/Carpathian Control Conference (ICCC), 2013 14th International. IEEE, 2013: 334-339.

DOI: 10.1109/carpathiancc.2013.6560565

Google Scholar

[5] Padula F, Visioli A. Tuning rules for optimal PID and fractional-order PID controllers [J]. Journal of Process Control, 2011, 21(1): 69-81.

DOI: 10.1016/j.jprocont.2010.10.006

Google Scholar

[6] Zhu Z, Liu K, He Y, et al. Model free analysis and tuning of PID controller[C]/Control Conference (ASCC), 2013 9th Asian. IEEE, 2013: 1-7.

DOI: 10.1109/ascc.2013.6606052

Google Scholar

[7] Lai C L, Hsu P L. Design the remote control system with the time-delay estimator and the adaptive smith predictor [J]. Industrial Informatics, IEEE Transactions on, 2010, 6(1): 73-80.

DOI: 10.1109/tii.2009.2037917

Google Scholar

[8] Hajdu D, Insperger T. Time Domain Analysis of the Smith Predictor in Case of Parameter Uncertainties: A Case Study[C]/ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013: V07BT10A060-V07BT10A060.

DOI: 10.1115/detc2013-12324

Google Scholar

[9] Bowthorpe M, Tavakoli M, Becher H, et al. Smith predictor based control in teleoperated image-guided beating-heart surgery[C]/Robotics and Automation (ICRA), 2013 IEEE International Conference on. IEEE, 2013: 5825-5830.

DOI: 10.1109/icra.2013.6631415

Google Scholar