Distributed Supervisory Predictive Control of
 Main Steam Temperature for UltraSupercritical Unit

doi:10.16183/j.cnki.jsjtu.2017.10.015

Abstract

Abstract: Considering the main steam temperature control system in ultrasupercritical oncethrough boiler, this paper presents a distributed supervisory predictive control (DSPC) method based on neurofuzzy 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.

Key words: , ultrasupercritical unit, main steam temperature control, distributed supervisory predictive control (DSPC)

CLC Number:

TP 273

KONG Xiaobing1,2,FAN Chang2,LIU Xiangjie1. Distributed Supervisory Predictive Control of
Main Steam Temperature for UltraSupercritical Unit[J]. Journal of Shanghai Jiaotong University, 2017, 51(10): 1252-1259.

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