Energy Saving in Electro-Hydraulic System Using Adaptive Neuro-Fuzzy Controller

Abstract

In industrial machinery units in which handle with high loads, hydraulic actuators are often used to actuate the manipulators. The nonlinear effects of the hydraulic system can be a problem if they disturb the energy efficiency of the hydraulic system. In this study, a designed Adaptive neuro-fuzzy Controller for electro-hydraulic system is developed to reduce the energy consumption. An intelligent neuro-fuzzy controller is employed to optimize the quantitative energy of fluid power flow of hydraulic system by the rotation of the electric motor via an inverter. Results of experiment study are presented showing the potential improvement in term of energy saving and pressure servo performance offered by this method.