The Research on Intelligent Control method for EHP System

摘要：

　　Optimized machine learning algorithm is applied to control modeling of high-speed electric-hydraulic proportional system of high nonlinear in this paper,a identification model of high-speed electric-hydraulic proportional system is built based on support vector machines,fusion intelligent method of dynamic self-adaptive internal model control and predictive control is realized for high-speed electric-hydraulic proportional control system.Internal model and inverse controller model are online adjusted together.Simulation shows the satisfactory tracking effect by intelligent technology of dynamic self-adaptive internal control and predictive control based on the support vector machine,the dynamic characteristic is greatly improved by the intelligent control strategy for high-speed electric-hydraulic proportional control system,good tracking and control effect is reached in condition of high frequency response.It provides a new intelligent control method for high-speed electric-hydraulic proportional system.

关键词： The support vector machine EHP system intelligent method self-adaptive internal control predictive control

作者: Yi Wan Qibo Cai Huan Wang

作者单位: College of Physics and Electronic Information Engineering, Wenzhou University, Wenzhou, China

会议类型: 国际会议

会议名称: 2012 International Mechanical Properties and Structural Materials Conference(IMPSMC2012)(2012机械性能与结构材料国际会议)

会议地点: 太原

会议语种:英文

页码: 12-15

在线出版日期: 2012-08-17（万方平台首次上网日期，不代表论文的发表时间）