Design of Artificial Neural Network Chaos Controller for the Rolling Mill Automatic Position Control Stoping System

摘要：

A nonlinear model of the rolling mill automatic position control system is derived based on analyzing the friction between roll and metal plate、 the flexibility and the roll eccentricity force. The nonlinear characteristic of the automatic position control (APC) system is analysed. The result shows the APC system has chaotic characteristics. Aim at the characteristics of the APC system, such as nonlinear and variable parameter. a robust controller of the APC system is designed based on artificial neural network technology. The simulation results show that the ANN controller has very strong robustness to the system chaos and the large load disturbance, and rapid and smooth control process and high steady precise performances can be implemented.

关键词： automatic position control(APC) chaos artificial neural network controller robustness

作者: Zhang Ruicheng Li Chong

作者单位: College of Computer and Automatic Control Hebei Polytechnic University Hebei Tangshan 063009 China

会议类型: 国际会议

会议名称: 2010 4th International Conference on Intelligent Information Techonlogy Application(第四届智能信息技术应用国际学术研讨会 IITA 2010)

会议地点: 秦皇岛

会议语种:英文

页码: 276-279

在线出版日期: 2010-11-05（万方平台首次上网日期，不代表论文的发表时间）