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Application of AMESim and Matlab simulation on hydraulic servo control system of spinning lathe

Published: 07 July 2013 Publication History

Abstract

This paper conducts a joint simulation on the hydraulic servo control system with AMESim and Matlab for a spinning lathe design project. A PID hydraulic servo control system model and a self-adaptive one are built with AMESim and Matlab. Comparison and analysis of both control systems performances are conducted by changing the parameters (input, load added, etc.) and introducing an external disturbance. The results reveal the self-adaptive hydraulic servo control system with the self-adaptive controller has better performance than the system with PID controller. The self-adaptive hydraulic servo control system can reduce or even eliminate the system model parameters' changing effects and random external disturbance fast. The self-adaptive hydraulic servo control system doesn't oscillate when large load added or input signal changing; besides, the system self-tuning process is fast when constant external disturbance introduced. The self-adaptive hydraulic control system satisfies the spinning process specification well.

References

[1]
O. Music, J. M. Allwood, K. Kawai. A review of the mechanics of metal spinning. Journal of Materials Processing Technology, Volume 210, Issue 1, 1 January 2010, Pages 3--23.
[2]
E. Quigley, J. Monaghan. Enhanced finite element models of metal spinning. Journal of Materials Processing Technology, Volume 121, Issue 1, 14 February 2002, Pages 43--49.
[3]
M. Kleiner, R. Göbel, H. Kantz, Ch. Klimmek, W. Homberg. Combined Methods for the Prediction of Dynamic Instabilities in Sheet Metal Spinning. CIRP Annals - Manufacturing Technology, Volume 51, Issue 1, 2002, Pages 209--214.
[4]
Min Young Kim, Chung-Oh Lee. An experimental study on the optimization of controller gains for an electrohydraulic servo system using evolution strategies. Control Engineering Practice, Volume 14, Issue 2, February 2006, Pages 137--147.
[5]
AMESim User Manual v. 4.2, IMAGINE S.A., 2004.
[6]
Marquis-Favre Wilfrid, Bideaux Eric, Scavarda Serqe. A planar mechanical library in the AMESim simulation software Part II: Library composition and illustrative example. Simulation Modeling Practice and Theory, Vol 14, No. 2, pages 95--111, Feb. 2006.
[7]
Lynn Alfred, Smid Edzko, Eshraghi Moji, Caldwell Niall, et al. Modeling hydraulic regenerative hybrid vehicles using AMESim and Matlab/Simulink. Proceeding of SPIE - The International Society for Optical Engineering, Vol 5805, No. 6, pages 24--40, Mar. 2005.
[8]
Xiangzhong Meng, Baoye Song. Fast Genetic Algorithms Used for PID Parameter Optimization. Automation and Logistics, 2007 IEEE International Conference on, vol., no., pages 2144--2148, 18--21 Aug. 2007.
[9]
Chen Long, Niu Li-min, Zhao Jing-bo, Jiang Hao-bin. Application of AMESim & MATLAB simulation on vehicle chassis system dynamics. Intelligent Information Technology Application, Workshop on, vol., no., pages 185--188, 2--3 Dec. 2007.
[10]
Yi-qiang Peng, Wei Li. Research on fuzzy control strategies for automotive EPB system with AMESim/Simulink co-simulation. Control and Decision Conference, 2009. CCDC '09. Chinese, vol., no., pages 1707--1712, 17--19 June 2009.
[11]
Zhou Kaibo, Wang Xuyong, Tao Jianfeng, Guo Xiaofeng, Xu Chuanhui. Research on a novel PID based controller for nonmagnetic hydraulic navigation simulator with AMESim simulation. Control (CONTROL), 2012 UKACC International Conference on, vol., no., pages 496--501, 3--5 Sept. 2012.
[12]
Alfred Lynn, Edzko Smid, Moji Eshraghi, Dan Woody. Modeling hydraulic regenerative hybrid vehicles using AMESim and Matlab/Simulink, Proc. SPIE, Enabling Technologies for Simulation Science IX, Volume 5805, pages 24--40, May 25, 2005.

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Published In

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SCSC '13: Proceedings of the 2013 Summer Computer Simulation Conference
July 2013
419 pages
ISBN:9781627482769

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  • SCS: Society for Modeling and Simulation International

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Society for Modeling & Simulation International

Vista, CA

Publication History

Published: 07 July 2013

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Author Tags

  1. AMESim
  2. Matlab
  3. hydraulic servo control system
  4. self-adaptive
  5. spinning lathe

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  • Research-article

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SummerSim '13
Sponsor:
  • SCS
SummerSim '13: 2013 Summer Simulation Multiconference
July 7 - 10, 2013
Ontario, Toronto, Canada

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