Refined Modeling Method and Analysis of an Electromagnetic Direct-Drive Hydrostatic Actuation System

Abstract

The hydrostatic actuation system based on linear actuators improves the complex piston force and long transmission path of the traditional electro-hydrostatic actuator (EHA). However, new nonlinear factors in the linear actuator and direct-driven piston are introduced into the system, which present challenges to system modeling and control. To improve the accuracy of system performance prediction, this paper analyzed the working characteristics of an electromagnetic direct-drive hydrostatic actuation system (EDHAS). A dynamic model of the electromagnetic linear actuator including the LuGre friction model was established. The high-pressure internal leakage of the direct-drive pump was described by an inclined eccentric leakage model. The Karnopp friction model was applied to solve the problem of switching between viscous and sliding friction in a cylinder. The hydraulic components model was established based on AMESim, and the electromagnetic linear actuator model and the system controller model were established in Matlab/Simulink, to establish a refined electromechanical–hydraulic co-simulation model of the EDHAS with electromagnetic, mechanical, hydraulic, and control coupling. A system performance test platform was built. The simulation results of the direct-drive piston displacement, the system pressure, the system flow rate, and the cylinder displacement match well with experimental results, which verifies the validity and accuracy of the refined modeling method.

Design Method of the Stroke Ring Based on Deformation Pre-Compensation

“…Hydraulic drive plays an important role in modern industry [1][2][3]. The multiple-stroke piston motor has the characteristic of high output torque at low speed and is widely used in military, engineering machinery, shipbuilding, and other industries [4][5][6].…”

Fault Coupling Analysis and Reliability Assessment of Actuation System Based on Bond Graph Model

“…Chen et al [14] used EHA physical model and improved and extended Kalman filter technology based on excitation equivalent conversion to realize EHA multi-factor fault analysis and diagnosis. Lu et al [15] used AMESim to conduct fine modeling of the electromagnetic direct drive hydrostatic actuation system and build a system performance test platform to verify its effectiveness. Guo et al [16] used AMESim to build the electromechanical actuators (EMA) model and considered the uncertainty of its parameters to improve the model's accuracy and analyze the performance of the EMA.…”