Research on Electro-Hydraulic Servo System Based on BP-RBF Neural Network

摘要：

　　Aiming at the accuracy of the severe interference control system commonly used in marine electro-hydraulic servo system,a nonlinear model of the control system is established.In order to control the excess force,a composite PID controller with BP neuron algorithm is proposed.The integration and setting of parameters were carried out by neurons.The tracking ability of RBF neurons was used to construct a PID composite tracker,and simulation experiments were carried out to show that the relevant parameters were self-corrected.The controller has high control stability and fast speed.The other characteristics significantly suppress the excess force in the electro-hydraulic servo system,thus effectively optimizing the stability of the entire electro-hydraulic servo control system against external load force interference.

关键词： Electro-hydraulic servo system Redundant force control PID controller BP neural network

作者: Tao Chen Wenqun Zhang Jianggui Han

作者单位: College of Power Engineering,Naval University of Engineering,Wuhan 430000,Hubei,China

会议类型: 国际会议

会议名称: 2019机械设计国际会议暨第20届机械设计学术年会

会议地点: 浙江湖州

会议语种:英文

页码: 615-622

在线出版日期: 2019-08-12（万方平台首次上网日期，不代表论文的发表时间）