System identification and predictive functional control for electro-hydraulic actuator system

Nowadays, electro-hydraulic actuator (EHA) is widely applied in industries. This study presents the modeling and development of a predictive functional control (PFC) algorithm for position control of 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 an optimized PID controller tuned by using particle swarm optimization (PID-PSO) for several position tracking inputs. The result shows that the PFC algorithm has better performance in term of overshoot and integral absolute error (IAE) as compared to the optimized PID.