Modeling and Controller Design of an Electro-Hydraulic Actuator System
Abstract: Problem statement: Electro-hydraulic actuators are widely used in motion control application. Its valve needs to be controlled to determine direction of the motion. Mathematical modeling is a description of a system in terms of equations. It can be divided into two parts; physical model...
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Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Science Publications
2010
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Subjects: | |
Online Access: | http://eprints.utem.edu.my/id/eprint/12345/1/ajas781100-1108.pdf http://eprints.utem.edu.my/id/eprint/12345/ |
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Institution: | Universiti Teknikal Malaysia Melaka |
Language: | English |
Summary: | Abstract: Problem statement: Electro-hydraulic actuators are widely used in motion control
application. Its valve needs to be controlled to determine direction of the motion. Mathematical
modeling is a description of a system in terms of equations. It can be divided into two parts; physical
modeling and system identification. The objective of this study was to obtain mathematical model of
an electro-hydraulic system using system identification technique by estimating model using System
Identification Toolbox in MATLAB. Approach: Experimental works were done to collect input and
output data for model estimation and ARX model was chosen as model structure of the system. The
best model was accepted based on the best fit criterion and residuals analysis of autocorrelation and
cross correlation of the system input and output. PID controller was designed for the model through
simulation in SIMULINK. The controller is tuning by Ziegler-Nichols method. The simulation work
was verified by applying the controller to the real system to achieve the best performance of the
system. Results: The result showed that the output of the system with controller in simulation mode
and experimental works were improved and almost similar. Conclusion/Recommendations: The
designed PID controller can be applied to the electro-hydraulic system either in simulation or real-time
mode. The self-tuning or automatic tuning controller could be developed in future work to increase the
reliability of the PID controller. |
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