会议专题

A HIGH-ACCURACY DYNAMIC WEIGHING SYSTEM BASED ON SINGLE-IDLER CONVEYOR BELT

This paper is aimed at the correction on dynamic measurement errors. It analyzes the cause of errors, normalizes errors, and builds a mathematical model for dynamic measurement errors of single-idler electronic belt conveyor scale. According to the model, the proposed approach uses neural network method to correct errors. To extend the application, with SPC3 chip, this approach adds a PROFIBUS-DP communication interface for the dynamic weighing system. The result has shown the measurement errors are effectively reduced, and the measurement accuracy can up to 0.2%. The method presented in this paper is characterized by moderate computation and high application value.

Dynamic measurement accuracy Error analysis Neural network Single-idler Dynamic weighing system SPC3

HONG-BIN GAO WEI-YI PANG

College of Information Science and Engineering, Hebei University of Science and Technology Shijiazhuang, 050011

国际会议

2009 International Conference on Machine Learning and Cybernetics(2009机器学习与控制论国际会议)

保定

英文

2483-2487

2009-07-12(万方平台首次上网日期,不代表论文的发表时间)