Self Learning Intelligent Controller of Electro hydraulic Actuator

Full Text (PDF, 439KB), PP.28-37

Views: 0 Downloads: 0

Author(s)

Ayman A.Aly 1,* Abdallah A. Alshennawy 2 A.Abo-Ismail 3 S.Dossokey 4

1. Taif University, El-Hawiea, Taif,888, Saudi Arbia

2. Tanta University, Egypt

3. Assiut University,Assiut, 71516, Egypt

4. Cairo University, Cairo, Egypt

* Corresponding author.

DOI: https://doi.org/10.5815/ijem.2013.01.03

Received: 5 Mar. 2013 / Revised: 9 Apr. 2013 / Accepted: 15 May 2013 / Published: 29 Jun. 2013

Index Terms

Intelligent Position Control, Fuzzy Logic Control, PID, Electro hydraulic

Abstract

The use of electro-hydraulic cylinders in industry has been becoming increasingly popular. A Fuzzy Logic Controller (FLC), which consists of the linguistic defined fuzzy sets and the control rules, is designed to control of the electro-hydraulic cylinder. Using the triangle shaped membership function; the position of the servo cylinder was successfully controlled. When the system working condition is altered, the control algorithm is shown to be more robust compared to the PID controller.

Cite This Paper

Ayman A.Aly,Abdallah A. Alshennawy,A.Abo-Ismail,S.Dossokey,"Self Learning Intelligent Controller of Electro hydraulic Actuator", IJEM, vol.3, no.1, pp.28-37, 2013. DOI:10.5815/ijem.2013.01.03

Reference

[1] Ayman A. Aly, "Model Reference PID Control of an Electro-hydraulic Drive" I. J. Intelligent Systems and Applications (IJISA), 11, 24-32, 2012.

[2] Ayman A. Aly, “Intelligent fuzzy controller with road surfaces identifier for antilock brake system,” Int. J. Mechatronics and Automation (IJMA), Vol. 1, Nos. 3/4, pp 153-160, 2011.

[3] Zhao,T. and Virvalo,T., “Fuzzy State Controller and Its Application in Hydraulic Position Servo”, Fluid power, Page 417, (1993).

[4] Zhang, B., and Edmunds, J., “Self - Organizing Fuzzy Logic Controller”, IEEE Vol. 139, No.5 Sept. (1992).

[5] Ali Yousef and Ayman A. Aly, “Effect of Non-linearities in Fuzzy Approach for Control A Two –Area Interconnected Power System”, IEEE International Conference on Mechatronics and Automation (ICMA 2010) China, August 4-7, 2010.

[6] Purows, L., Ch.4,”Control of Fluid Power Analysis and Design”, Van Nostrand Reinhold Company, New York, (1987)