Application of Fuzzy Neural Network Controller in Electro-Hydraulic Servo Systems
Hydraulic systems play an important role in modern industry. However, due to the hydraulic system itself nonlinear factors exist, the conventional control approaches may not guarantee satisfactory control performance. This paper presents a self-learning algorithm of fuzzy neural network based on subtractive clustering, which in order to control the electro-hydraulic position servo system. Subtractive clustering algorithm is used to determine the initial structure of fuzzy neural network, which in the process of learning of network. The result parameter and premise parameter are identified by least square method and back-propagation algorithm, respectively. To validate the proposed control strategy, the cosimulation is carried out, which between AMESim and Simulink. The results show that the fuzzy neural network method has a great ability of restraining external disturbance.
Li WANG Linfang QIAN Yong JIN Qi GUO Yunlong WANG
School of Mechanical Engineering, Nanjing University of Science and Technology, Jiangsu, China Military Representative Office of the General Armament Department in Wuhan Area, Hubei, China 73916 Troops of Peoples Liberation Army, Shanghai, China
国际会议
The 4th International Conference on Mechanical Engineering and Mechanics(第四届国际机械工程与力学会议)
苏州
英文
259-264
2011-08-11（万方平台首次上网日期，不代表论文的发表时间）