Application of PID Neural Network in the pneumatic control system

DOI

10.2991/icmse-17.2017.12How to use a DOI?

Keywords

intelligent valve positioner, pneumatic servo system, PID neural network, regulating valve, nonlinear control

Abstract

In order to solve the problems of time-varying, nonlinear and large inertia in the pneumatic control system of the intelligent valve positioner, the PID neural network control strategy is used to control the valve opening. Based on the analysis of the principle of the neural network controller, the network structure and the formulas of the PID neural network controller are determined to improve the system control accuracy and the dynamic performance. The simulation results show that the PID neural network has better time-varying, less adjustment time and greater accuracy than the traditional PID. The experimental results show that the settling time of the control strategy is less than 4s and the accuracy of the strategy is less than 1%.

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  - Yuxuan Pan
AU  - Quanlin Dong
PY  - 2017/04
DA  - 2017/04
TI  - Application of PID Neural Network in the pneumatic control system
BT  - Proceedings of the 2017 7th International Conference on Manufacturing Science and Engineering (ICMSE 2017)
PB  - Atlantis Press
SP  - 60
EP  - 66
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmse-17.2017.12
DO  - 10.2991/icmse-17.2017.12
ID  - Pan2017/04
ER  -