Velocity Control of Electro Hydraulic Servo System by Tracking Method

International Journal of Smart Electrical Engineering

مقاله 1، دوره 03، شماره 01، اردیبهشت 2014، صفحه 1-6   

نویسندگان

Mohammad Reza Asadi Asad Abad¹؛ Amir Reza Zare Bidaki²؛ Mohsen Jahanshahi³

¹Department of Mechanical Engineering BuinZahra Branch, Islamic Azad University Buinzahra, Iran.

²Young Researchers and Elite Club, Buinzahra Branch, Islamic Azad University, Buinzahra, Iran.

³Young Researchers and Elite club, Central Tehran Branch, Islamic Azad University, Tehran, Iran.

چکیده

This paper proposes an efficient Tracking method for velocity control of an electro-hydraulic servo system (EHSS) in the presence of flow nonlinearities and internal friction. The tracking method controller is a kind of feedback error learning structure. In the proposed method, the Feedback Error Learning (FEL) algorithm is used to control the velocity. There is no need to compute the system jacobian in FEL method which in turn makes its using more suitable for practical scenarios. This procedure illustrates that EHSS control can be successfully. All derived results are validated by computer simulation of a nonlinear mathematical model of the system.

کلیدواژه‌ها

Electro Hydraulic Servo System (EHSS)؛ Feedback Error Learning (FEL)؛ Laguerre Controller

مراجع

[1]

H. E. Merritt, “Hydraulic Control System”, New York: John Wiley & Sons, Inc., 1967.

[2]

J. Watton, “Fluid Power System”, New York: Prentice Hall, 1989.

[3]

M. Jovanovic “Nonlinear Control of an Electro Hydraulic Velocity Servo System”, ACC 02, Anchorage, Alaska, USA, 2002.

[4]

S. A. Mohseni M. Aliyari.sh and M. Teshnehla,”EHSS Velocity Control by Fuzzy Neural Networks”, IEEE, North American Fuzzy Information Processing Society, pp.13-18, 2006.

[5]

S. A. Mohseni, M, Aliyari Shooredeli, M, Teshnehlab, “Decoupled Sliding-Mode with Fuzzy Neural Network Controller for EHSS Velocity Control”, Intelligent and Advanced Systems, ICIAS, Malaysia, 2007.

[6]

H. Azimian, R. Adlgostar and M.Teshnelab, “Velocity Control of an Electro Hydraulic Servomotor by Neural Networks”, International Conference PhysCon, Saint Petersburg, Russia, pp.24-26, 2005.

[7]

Chan L. Asokanthan. “CMAC Based Controller for Hydro Mechanical Systems”, American Control Conference ACC`01, Arlington, VA, SA, 2001.

[8]

H. Miyamoto, M. Kawato, T. Setoyama and R. Suzuki, “Feedback Error Learning Neural Network for Trajectory Control of a Robotic Manipulator Neural Networks”, Vol.1, pp.251-265, 1988.

[9]

M. Kawato, “Computational Schemes and Neural Network Models for Formation and Control of Multi Joint Arm Trajectory” in W. T. Miller, R. S. Sutton, and P. J. Werbos, Neural Networks for Control, The MIT Press, 1990.

[10]

Tomas Oliveira e Silva “Laguerre Filters – An Introduction” Revista do DETUA, Vol.1, No.3, pp.237-248, 1995.

[11]

M. Asadi, F. Razzazi, “Adaptive Determination of the Free Parameters of Generalized Orthonormal IIR Adaptive Filters Using Genetic Algorithm”, Proc. IEEE Computer Control and Communication, 2009.

[12]

A. R. Zare Bidaki,. M Malboubi, M Jahanshahi, R. Pirmoradi and M R Asadi , “Velocity Control of an Electro Hydraulic Servo System Using an Efficient Laguerre-Based Controller”, Australian Journal of Basic and Applied Sciences, Vol.5, No.12, pp.1934-1942, 2011.

[13]

M. Tavan, M. Aliyari.sh and A. R. Zare Bidaki, “Stability of Feedback Error Learning for Linear Systems”, Milano, Italy, IFAC, 2011.

[14]

M. H Shafiabadi, M Jahanshahi, and A. R. Zare Bidaki, “Feedback Error Learning Using Laguerre-Based Controller to Control the Velocity of an Electro Hydraulic Servo System”, Australian Journal of Basic and Applied Sciences, Vol.6, No.10, pp.222-230, 2012.