Published June 2007
| Version v1
Journal article
DRNN based control for water level of saturated steam generator
Creators
- 1. Southwest Jiaotong Univ., Chengdu (China). School of Electric Engineering
- 2. Nuclear Power Inst. of China, Chengdu (China)
- 3. Atlantic Nuclear Services Ltd (Canada)
Description
The neural network has strong self-learning and self-adapting abilities. Presented in this paper is a diagonal recurrent neural network-based control system that is applied to quick and stable identification and self-adaptive level control of the saturated steam generator. the simulation results demonstrate that the developed control system is with good control performances. (authors)
Additional details
Publishing Information
- Journal Title
- Nuclear Power Engineering
- Journal Volume
- 28
- Journal Issue
- 3
- Journal Page Range
- p. 90-93, 124
- ISSN
- 0258-0926
INIS
- Country of Publication
- China
- Country of Input or Organization
- China
- INIS RN
- 39075671
- Subject category
- S21: SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS;
- Descriptors DEI
- CONTROL; CONTROL SYSTEMS; LEVELS; NEURAL NETWORKS; PERFORMANCE; SIMULATION; STEAM GENERATORS; WATER
- Descriptors DEC
- BOILERS; HYDROGEN COMPOUNDS; OXYGEN COMPOUNDS; VAPOR GENERATORS
Optional Information
- Notes
- 4 figs., 3 refs.