Research on Reheated Steam Temperature Control of Supercritical Unit Based on Active Disturbance Rejection Controller Smith Predictive Compensation Method
Power Generation and Environment Protection|更新时间:2025-06-06
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Research on Reheated Steam Temperature Control of Supercritical Unit Based on Active Disturbance Rejection Controller Smith Predictive Compensation Method
Power Generation TechnologyVol. 39, Issue 4, Pages: 367-372(2018)
作者机构:
南京工程学院能源与动力工程学院, 江苏省 南京市 211167
作者简介:
基金信息:
Scientific Research Foundation of Nanjing Institute of Technology(YKJ201607);The Provincial College Students' Science and Technology Innovation Project(201711276047X);Research Fund of Nanjing Institute of Technology(ZKJ201605)
Xiaobo CUI, Jiubin LIU, Hongxia ZHU, et al. Research on Reheated Steam Temperature Control of Supercritical Unit Based on Active Disturbance Rejection Controller Smith Predictive Compensation Method[J]. Power Generation Technology, 2018, 39(4): 367-372.
DOI:
Xiaobo CUI, Jiubin LIU, Hongxia ZHU, et al. Research on Reheated Steam Temperature Control of Supercritical Unit Based on Active Disturbance Rejection Controller Smith Predictive Compensation Method[J]. Power Generation Technology, 2018, 39(4): 367-372. DOI: 10.12096/j.2096-4528.pgt.2018.055.
Research on Reheated Steam Temperature Control of Supercritical Unit Based on Active Disturbance Rejection Controller Smith Predictive Compensation Method
In order to solve the problem of high reheated steam temperature fluctuation
difficult operation of automatic control and low economical efficiency because of high spraying water in supercritical unit
an advanced reheated steam temperature optimal control strategy being applicable to big lag and nonlinear characteristic was put forward by combining the active disturbance rejection controller (ADRC) with the Smith predictive compensation control. Through the simulation of the reheated steam temperature object in 600 MW supercritical unit
the results show that compared with the traditional reheated steam temperature control system
the proposed advanced reheated steam temperature control strategy can decrease the reheated steam temperature fluctuations
setpoint tracking performance and disturbance rejection can be improved
also the economical efficiency can be raised by reducing the amount of spraying water.