Modeling and Control of Proportional Directional Control Valve Using Neural Network .

Authors

• Mohammed y. Hassan, Control & Systems Engineering/University of Technology Baghdad, Iraq
• Majid A. Aliwe, Control & Systems Engineering/University of Technology Baghdad, Iraq

Document Type

Original Study

Abstract

A multi-layer, multi-input/ multi-output feed-forward back propagation neural network will be used to identify the model of proportional directional control valve with the addition of its nonlinearities. An electro-hydraulic training test bench is used to Vollect data for training the neural network. Using MATLAB, SIMUILNK the electro- hydraulic controlled system is tested, by applying a variable reference stroke position. A PI controller is tuned to get a stroke response with minimum overshoot and minimum steady state error. Modeling results were very satisfied and were very close to the experimental one with an error less than 10-10. This work can be generalized by applying the same idea to any nonlinear valve.

How to Cite This Article

Hassan, Mohammed y. and Aliwe, Majid A. (2006) "Modeling and Control of Proportional Directional Control Valve Using Neural Network .," Iraqi Journal of Computers, Communications, Control and Systems Engineering: Vol. 6: Iss. 3, Article 8.
Available at: https://ijccce.researchcommons.org/journal/vol6/iss3/8