Optimization and Simulation of Boiler Water Level Control Based on the Fuzzy Neural Network

DOI

10.2991/amee-17.2017.9How to use a DOI?

Keywords

boiler water level control; fuzzy logic;fuzzy neural network g; PID

Abstract

To adjust the parameter PID of boiler water level control.Analysis of the problems existing in the Marine boiler water level control.[Method] Using fuzzy neural network, Fuzzy neural network is the combination of neural network and fuzzy logic. the traditional PID control and fuzzy neural network control modeling, simulation comparison.[Result] The results show that the fuzzy neural network control convergence is good, the method is effective.[Conclusion] The conclusion is of reference significance to improve boiler water level control.

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  - Zhimin Yu
AU  - Long Cheng
AU  - Zhenyong Hao
AU  - Wang Renzhong
PY  - 2017/09
DA  - 2017/09
TI  - Optimization and Simulation of Boiler Water Level Control Based on the Fuzzy Neural Network
BT  - Proceedings of the 2017 2nd International Conference on Automation, Mechanical and Electrical Engineering (AMEE 2017)
PB  - Atlantis Press
SP  - 47
EP  - 51
SN  - 2352-5401
UR  - https://doi.org/10.2991/amee-17.2017.9
DO  - 10.2991/amee-17.2017.9
ID  - Yu2017/09
ER  -