Application of Single Neuron Adaptive PID Approach in Rolling Tension Control

DOI

10.2991/msmee-17.2017.224How to use a DOI?

Keywords

Neuron, PID, Rolling tension control

Abstract

Rolling tension control is an important factor to ensure the quality of steel products. In actual production process, there are shortcomings such as large overshoots, long adjustment time and the parameters are difficult to adjust in real time because rolling tension model is a high-order nonlinear system when conventional PID controller is used to control the tension. In this paper, a single neuron adaptive PID tension control method is proposed. The experimental results show that compared with traditional PID controller, single neuron adaptive PID controller is used to shorten the adjustment time of the tension control to 3% ~ 10%, full realization of zero static error is achieved and the robustness of the system is obviously enhanced.

Copyright

© 2017, 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/).

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TY  - CONF
AU  - Xiao-dan Zhang
AU  - Yan-ming Cheng
AU  - Yu-xiang Hao
PY  - 2017/05
DA  - 2017/05
TI  - Application of Single Neuron Adaptive PID Approach in Rolling Tension Control
BT  - Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
PB  - Atlantis Press
SP  - 1185
EP  - 1190
SN  - 2352-5401
UR  - https://doi.org/10.2991/msmee-17.2017.224
DO  - 10.2991/msmee-17.2017.224
ID  - Zhang2017/05
ER  -