| Issue |
E3S Web Conf.
Volume 244, 2021
XXII International Scientific Conference Energy Management of Municipal Facilities and Sustainable Energy Technologies (EMMFT-2020)
|
|
|---|---|---|
| Article Number | 09003 | |
| Number of page(s) | 11 | |
| Section | Environmental and Climate Technologies | |
| DOI | https://doi.org/10.1051/e3sconf/202124409003 | |
| Published online | 19 March 2021 | |
Optimal control of a double-barbane water-tube boiler
Voronezh State Technical University, 394006, 20-letiya Oktyabrya Street, 84, Voronezh, Russia
* Corresponding author: u00781@vgasu.vrn.ru
The article discusses the synthesis of a control system that implements optimal control of a double-drum water-tube boiler with natural circulation with effective suppression of disturbing influences and ensuring astatism of the control channel. One of the main channels of the object is described in the most detail, the channel “fuel consumption - pressure of superheated steam”, which is decoupled from others. Therefore, it is for him that we will carry out the calculation of the automatic control system (ACS), the reaction of the system to a stepwise disturbing effect is indicated. Using the method of mathematical modeling, the operability of the synthesized control system was confirmed, its operability when the parameters of the model were varied twice, which indicates the possibility of transition from model to physical tests of the proposed control algorithm.
© The Authors, published by EDP Sciences, 2021
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.