The Design and Application of Control System Based on the BP Neural Network

DOI

10.2991/icmeis-15.2015.148How to use a DOI?

Keywords

mixer process; Neural network; BP algorithm; Asynchronous motor

Abstract

Artificial neural network is composed by a large number of processing interconnected unit. It is a nonlinear, adaptive information processing system. It has self-organizing, adaptive and self-learning ability. And can be used to calculate complex relationship between input and output, thus it has effective control ability. Rubber is the main material in the process of the mixer. It has a great influence on the final product. But at present many factories are added in the rubber by manual control. So this article takes the rubber transport equipment as the object, establish a BP neural network intelligent control system, using neural network self-learning ability and the adaptive ability to deal with uncertain information, to solve the problem of motion control of multiple dynamic input. Through the test of practical application, the system has strong robustness, adaptability, good generality and fault tolerance.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Xinglei Li
AU  - Hongbin Yu
PY  - 2015/08
DA  - 2015/08
TI  - The Design and Application of Control System Based on the BP Neural Network
BT  - Proceedings of the 3rd International Conference on Mechanical Engineering and Intelligent Systems (ICMEIS 2015)
PB  - Atlantis Press
SP  - 789
EP  - 793
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmeis-15.2015.148
DO  - 10.2991/icmeis-15.2015.148
ID  - Li2015/08
ER  -