STUDY ON SAMPLING CONTROL IN HYDRAULIC AGC BASED ON NEURAL NETWORK

摘要：

This paper introduces a Hydraulic Automatic Gauge Control system for Hengtong 1270mm cold mill in Tangshan, China.Identification and control are achieved based on RBF(Radial Basis Function) and BP(Back Propagation) NN(Neural Network) in APC(Automatic Position Control) system.Sampling control is applied to solve the dead-time control problem because of the gauges location.Considering the inertia of the hydraulic servo-system, we propose a new method of selecting sample period.The simulation result and the application show that the control effect is satisfied, and this method can be used widely.

关键词： Intelligent control Neural network Hydraulic AGC Identification delay Sample period

作者: JIAN-HONC MEI HONG-RUI WANG JIN-ZHUANG XIAO MING-CAI SHAN

作者单位: College of Electronic and Informational Engineering, Hebei University, Baoding 071002, China College of Quality and Technical Supervision, Hebei University, Baoding 071002, China

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 504-508

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）