Study of Double-holding Water Tank Liquid Level Control Base on Neural Networks PID Control

DOI

10.2991/cmsa-18.2018.73How to use a DOI?

Keywords

double-holding water tank; liquid level control; BP neural networks; PID control

Abstract

Aiming at the problem of the effect of longtime delay and nonlinear of the double-tank’s level control, the PID control of BP neural network tuning parameters is studied in this paper. The characteristics of the control system are analyzed minutely, a neural PID controller is designed and its control algorithm is derived. Simulation control program is compiled in MATLAB, and the program is applied to the experimental platform, then a better control effect is obtained after software debugging and parameter optimization. The results show the effectiveness and correctness of the control method.

Copyright

© 2018, 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  - Yuli Wei
PY  - 2018/04
DA  - 2018/04
TI  - Study of Double-holding Water Tank Liquid Level Control Base on Neural Networks PID Control
BT  - Proceedings of the 2018 International Conference on Computer Modeling, Simulation and Algorithm (CMSA 2018)
PB  - Atlantis Press
SP  - 320
EP  - 323
SN  - 1951-6851
UR  - https://doi.org/10.2991/cmsa-18.2018.73
DO  - 10.2991/cmsa-18.2018.73
ID  - Wei2018/04
ER  -