Design and Simulation for Electro-Hydraulic Proportional Tension Control System

Article Preview

Abstract:

Sliding Mode Variable Structure(SMC) based on index approaching rate to control tension is used in this paper,because the lead sheet uncoiler electro-hydraulic tension control system parameters exist many problems,such as:time-varying,coupling multiple interference and so on.Through Matlab/Simulink simulation tool to make simulationanalysis for the electro-hydraulic proportional tensio control model,and comparing with PIDcontrol.The simulation results shows that SMC control is better than PID control.The system can be strongly adaped to parameters time-varying interference and has strong robustness.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

250-255

Citation:

Online since:

July 2015

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2015 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] YuanZirong , WuZhangyong, YuanRuibo. New hydraulic components and systems integration technology,M. Beijing: Machinery Industry Press, (2011).

Google Scholar

[2] OuChangjing, WuHailie, LuKang. Fuzzy Neural network tension control system,J. Light Industry Machinery, 2006, 24(4): 102-105.

Google Scholar

[3] JiangSheng, LiuHuikang. Fuzzy adaptive PID controller in tension control,J. Microcomputer Information, 2006, 22(8): 32-34.

Google Scholar

[4] LiRong. Application of electro-hydraulic servo tension control in lead sheet coiling machine,D. Kunming, Kunming University of Technology, (2013).

Google Scholar

[5] GuanCheng , ZhuShanan . Multiple sliding mode robust adaptive control of an electro—hydraulic servo system,J. Control Theory&Applications, 2005, 22(6): 931—938.

Google Scholar

[6] GuanCheng , ZhuShanan . Multiple Derivative and integral sliding mode adaptive control for a class of nonlinear system and its application to an electro—hydraulic servo system, J.Proceedings of the CSEE,2005,25(4): 103—108.

Google Scholar

[7] ZhangYouwang, GuiWeihua, ZhaoQuanming. Adaptive electro—hydraulic position tracking system based on dynamic recurrent fuzzy neural network,J. Control Theory&Applications, 2005, 22(4): 551—556.

Google Scholar

[8] ZHANG T P,GE S S.Adaptive neural control of MIMO nonlinear state time—varying delay systems with unknown dead—zones and gain signs,J. Automatic,2007, 43(6): 1021—1033.

DOI: 10.1016/j.automatica.2006.12.014

Google Scholar

[9] QiaoJihong,ShiBing , ShiYaping .Adaptive wavelet backstopping control for electro—hydraulic servo systems,J. Transactions of Beijing Institute of Technology, 2008, 2s(5): 405—409.

Google Scholar

[10] RuanRuibo., Non-ferrous metal smelting equipment hydraulic technology and its applications,M. Beijing: Machinery Industry Press, (2011).

Google Scholar

[11] ZhaoPan. Dry laminating machine tension control system,D. Wuhan, Wuhan University of Technology, (2010).

Google Scholar

[12] WangChunxing. The hydraulic control system,M. Beijing, Machinery Industry Press, (1999).

Google Scholar