Dynamic Intelligent Prediction Control in Slender Cylindrical Grinding

摘要：

A dynamic intelligent prediction control system is built in slender cylindrical grinding. Elman network is used in the dynamic size prediction control model, and the first and the second derivative of the actual amount removed from the workpiece are added into the network input, which can greatly improve the size dynamic prediction accuracy. Moreover, a surface roughness equation with vibration data is proposed. Based the equation, the surface roughness dynamic fuzzy neural network prediction subsystem is built. Experiment verifies that the developed prediction control system is feasible and has high prediction and control accuracy.

关键词： Dynamic Size Roughness Prediction Control Elman network Vibration

作者: Ning Ding Xiaomei Li Yuan Ding Guofa Li Longshan Wang

作者单位: College of Mechanical Engineering, Changchun University, Changchun, China College of Mechanical Science and Engineering, Jilin University, Changchun, China

会议类型: 国际会议

会议名称: 第14届全国磨粒技术学术会议(14th Conference of Abrasive Technology in China)

会议地点: 南京

会议语种:英文

页码: 189-193

在线出版日期: 2007-10-26（万方平台首次上网日期，不代表论文的发表时间）