Ayman A. Aly

Model Reference PID Control of an Electro hydraulic Drive

Full Text (PDF, 573KB), PP.24-32

Views: 0 Downloads: 0

Author(s)

Ayman A. Aly ^1,2,*

1. Mechatronics Sec., Mechanical Eng. Dept., Faculty of Engineering, Assiut University, Assiut, 7156, Egypt

2. Mechatronics Sec., Mechanical Eng. Dept., College of Engineering, Taif University, Taif, 888, Saudi Arabia

* Corresponding author.

DOI: https://doi.org/10.5815/ijisa.2012.11.03

Received: 27 Jan. 2012 / Revised: 1 May 2012 / Accepted: 13 Aug. 2012 / Published: 8 Oct. 2012

Index Terms

Hydraulic Crane, Nonlinear PID, Model Reference, Adaptive Control

Abstract

Hydraulic cranes are inherently nonlinear and contain components exhibiting strong friction, saturation, variable inertia mechanical loads, etc. The characteristics of these non-linear components are usually not known exactly as structure or parameters. For these reasons, tuning of the traditional PID controller parameters to control this system for the required performance faces a strong challenge.
In this paper a new approach to design an adaptive PID control has the ability to solve the control problem of highly nonlinear systems such as the hydraulic crane was proposed. The core of the design method depends on comparing the performance of the Model Reference (MR) response with the nonlinear model response and feeding an adaptation signal to the PID control system to eliminate the error in between. It is found that the proposed MR-PID control policy provided the most consistent performance in terms of rise time and settling time regardless of the nonlinearities.

Cite This Paper

Ayman A. Aly, "Model Reference PID Control of an Electro-hydraulic Drive", International Journal of Intelligent Systems and Applications(IJISA), vol.4, no.11, pp.24-32, 2012. DOI:10.5815/ijisa.2012.11.03

Reference

[1]H.E. Merrit, “Hydraulic control systems”, John Wiley & Sons, 1976.

[2]J. Watton. “Fluid power systems: Modeling, simulation, analog and microcomputer control”, Prentice-Hall International, London, UK, 1989

[3]J.W. Dobchuk, “Control of a Hydraulically Actuated Mechanism Using a Proportional Valve and a Linearizing Feedforward Controller”, PhD, Department of Mechanical Engineering, University of Saskatchewan, Saskatoon, Canada, Aug. 2004.

[4]A. Bonchis!, P. I. Corke, D. C. Rye and Q. P. Ha, “Variable Structure Methods In Hydraulic Servo Systems Control”, Automatica (37), pp 589-595, 2001.

[5]Daohang Sha a, Vladimir B. Bajic b and Huayong Yang, “New Model and Sliding Mode Control of hydraulic Elevator Velocity Tracking System”, Simulation Practice and Theory Journal (9), pp 365–385, 2002.

[6]G. Bartolini, A. Ferrara and E. Usai, “Chattering Avoidance By Second-Order Sliding Mode Control”, IEEE Trans. Autom. Control 43 (2), pp 241–246, 1998.

[7]Ayman A. Aly and A. Abo-Ismail, “Intelligent Control of A Level Process By Employing Variable Strcure Theory”, Proceeding of International Conference in The Mechanical Production Engineering, Warso, Poland, 1998.

[8]Ayman A. Aly, Aly S. Abo El-Lail, Kamel A. Shoush and Farhan A. Salem “Intelligent PI Fuzzy Control of An Electro-Hydraulic Manipulator” I.J. Intelligent Systems and Applications, 7, 43-49, 2012.

[9]Sepehri, N., Lawrence, P.D., Sassani, F., and Frenette, R., “Resolved-Mode Teleportation Control of Heavy-Duty Hydraulic Machines”, ASME Journal of Dynamics Systems, Measurement and Control, V116, N2, pp 232-240, 1994.

[10]Ayman A. Aly, and H. Ohuchi “Fuzzy Hybrid Control Using Indirect Inference Control For Positioning An Electro-Hydraulic Cylinder”, Conference of Fluid Power System, Yamaguchi, JAPAN, 2001.

[11]Wilson J. Rugh, “Analytical Framework for Gain scheduling”, American Control Conference, San Diego, California, USA, May 1990.

[12]Ziegler, J. G., & Nichols, N. B., “Optimum Settings for Automatic Controllers”, Transactions of ASME, 64, pp 759-768, 1942.

International Journal of Intelligent Systems and Applications (IJISA)