Considering the main steam temperature control system in ultrasupercritical oncethrough boiler, this paper presents a distributed supervisory predictive control (DSPC) method based on neurofuzzy network to realize the coordination of each control system. The supervisory layer is added on the basis of the original adjusting layer, so the setting values of the intermediate point temperature and superheated steam temperature at all levels can be obtained by solving an online optimization problem. Cooperation between systems is achieved by exchanging information between each control system and its neighbors via supervisory layer and by optimizing the local problem with the performance index considering the related systems. Simulation experiment is carried out under the condition of disturbance load to show the effectiveness of the proposed controllers.
KONG Xiaobing1,2,FAN Chang2,LIU Xiangjie1
. Distributed Supervisory Predictive Control of
Main Steam Temperature for UltraSupercritical Unit[J]. Journal of Shanghai Jiaotong University, 2017
, 51(10)
: 1252
-1259
.
DOI: 10.16183/j.cnki.jsjtu.2017.10.015
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