System identification and predictive functional control for electro-hydraulic actuator system
Nowadays, hydraulic systems are widely applied in industries due to its. However it suffers nonlinearities problem causing inaccurate position control. This study presents the modeling and development of a predictive functional control (PFC) algorithm for position control of electro-hydraulic actuat...
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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2015
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/61056/ http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=45966 |
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| Summary: | Nowadays, hydraulic systems are widely applied in industries due to its. However it suffers nonlinearities problem causing inaccurate position control. This study presents the modeling and development of a predictive functional control (PFC) algorithm for position control of electro-hydraulic actuator (EHA). System identification (SI) approach is used to obtain the linear transfer function of the system in discrete form. PFC is proposed based on its ability to predict the future outputs of the actual plant over the predictive horizon and computes the control effort over the control horizon at every sampling instance. Numerical simulation and real-time experiment are conducted to study the PFC performance with respect to optimized PID controller tuned by particle swarm optimization (PID-PSO) for several position tracking inputs. Result shows that the PFC algorithm has better performance in term of overshoot and integral absolute error (IAE) as compared to the optimized PID. |
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