Velocity Control of Electro Hydraulic Servo System by using a Feedback Error Learning Method

Subject Areas : journal of Artificial Intelligence in Electrical Engineering

Saeideh yaghobi ¹ ()
sajad yaghobi ² ()

Received: 2015-11-17 Accepted : 2015-11-17 Published : 2014-12-01

Keywords: Electro-hydraulic servo system (EHSS), Training feedback error (FEL),

Abstract :

In this paper, a new control method based on FEL electro hydraulic servo control withnonlinear flux and internal friction, has been presented. The new approach based oncontrollers combined by a classic PD controller and a fuzzy controller is smart. This newtechnique has a good ability to control the performance and stability. Simulations have beencarried out in Matlab environment and the results are presented below.

References:

[1] H. E. Merritt, (1967). "Hydraulic
Control System", New York: John Wiley
& Sons, Inc.
[2] J. Watton, (1989). "Fluid Power System",
New York: Prentice Hall.
[3] Mihailo Jovanovic (2002). "Nonlinear
Control of an Electro Hydraulic Velocity
Servo System", ACC02, Anchorage,
Alaska, USA.
[4] A. Mohseni, M. Teshnehlab, M. Aliyari,
(2006). "EHSS Velocity Control by Fuzzy
Neural Network", IEEE, North American
fuzzy information processing society,
pp13-18.
[5] Chan L. Asokanthan. (2001). "CMAC
Based Controller for Hydro Mechanical
Systems", American Control Conference
ACC01, Arlington, VA, USA.
[6] M. Aliyari. Sh, H. Aliyari. Sh, M.
Teshnehlab, J. Yazdanpanah (2006).
"Velocity Control of an Electro Hydraulic
Servo system", IEEE Conf. On
Networking and Sensing, Florida, pp 985-
988.
[7] H. Azimian, R. Adlgostar and
M.Teshnehlab (2005). "Velocity Control
of an Electro Hydraulic Servomotor by
Neural Networks", Saint Petersburg,
RUSSIA, International Conference
PhysCon August 24-26

[8] Garagic, D. Srinivasan, K., "Application
of Nonlinear Adaptive Control
Techniques to an Electro Hydraulic
Velocity Servomechanism", American.
[9] H. Miyamoto, M. Kawato, T. Setoyama
and R. Suzuki, (1988). "Feedback error
learning neural network for trajectory
control of robotic manipulator," Neural
networks, Vol.1, pp. 251-265.