Issue |
E3S Web Conf.
Volume 136, 2019
2019 International Conference on Building Energy Conservation, Thermal Safety and Environmental Pollution Control (ICBTE 2019)
|
|
---|---|---|
Article Number | 01007 | |
Number of page(s) | 7 | |
Section | Ultra-Low Energy Consumption Building Technology | |
DOI | https://doi.org/10.1051/e3sconf/201913601007 | |
Published online | 10 December 2019 |
A performance monitoring method for PID control system
1 School of Energy and Environment, Southeast University, Nanjing, Jiangsu Province, 210096, China
2 Zhejiang Energy Technology Research Institute Co. Ltd, Hangzhou, Zhejiang Province, 311121, China
3 Key Laboratory of High Efficiency Energy Conservation and Pollutant Control Technology of Thermal Power Generation Zhejiang Province, Hangzhou, Zhejiang Province, 311121, China
* Corresponding author’s e-mail: phwang@seu.edu.cn
The change of plant dynamics results in mismatch between the current model and the model used for design, which may have significant impacts on the performance of control system. A method to monitor the influence of the mismatch is proposed, including the estimation of mismatched model and the evaluation of control performance. The estimation method is based on back-propagation (BP) neural network and provide more accurate and reliable estimation effect. Serious mismatch can be alarmed according to evaluation method presented. Simulation results demonstrate the effectiveness of the proposed method.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.