Computational simulations for an electro-hydraulic system based on the artificial neural network
An artificial neural network is proposed to focus on the non-linearity and parameters uncertainties of an electro-hydraulic proportional speed control system (EHPSCS) with a single-rod hydraulic actuator. Computational simulations are carried out for the EHPSCS with Matlab-Simulink under the conditions of the hydraulic oil temperatures of 20°C and 40°C and the speed amplitude of 25mm/s and 40mm/s. The simulation results show that the speed control system has excellent dynamic performance, and an artificial neural network is an effective algorithm applied to the EHPSCS.
EHPSCS Artificial neural network Computational simulations Matlab-Simulink
Jian Yang
School of Urban Railway Transportation, Shanghai University of Engineering Science, Shanghai 201620,China
国际会议
杭州
英文
780-783
2009-04-08（万方平台首次上网日期，不代表论文的发表时间）