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Title: Dual Rate Adaptive Control for an Industrial Heat Supply Process Using Signal Compensation Approach

Abstract

The industrial heat supply process (HSP) is a highly nonlinear cascaded process which uses a steam valve opening as its control input, the steam flow-rate as its inner loop output and the supply water temperature as its outer loop output. The relationship between the heat exchange rate and the model parameters, such as steam density, entropy, and fouling correction factor and heat exchange efficiency are unknown and nonlinear. Moreover, these model parameters vary in line with steam pressure, ambient temperature and the residuals caused by the quality variations of the circulation water. When the steam pressure and the ambient temperature are of high values and are subjected to frequent external random disturbances, the supply water temperature and the steam flow-rate would interact with each other and fluctuate a lot. This is also true when the process exhibits unknown characteristic variations of the process dynamics caused by the unexpected changes of the heat exchange residuals. As a result, it is difficult to control the supply water temperature and the rates of changes of steam flow-rate well inside their targeted ranges. In this paper, a novel compensation signal based dual rate adaptive controller is developed by representing the unknown variations of dynamicsmore » as unmodeled dynamics. In the proposed controller design, such a compensation signal is constructed and added onto the control signal obtained from the linear deterministic model based feedback control design. Such a compensation signal aims at eliminating the unmodeled dynamics and the rate of changes of the currently sample unmodeled dynamics. A successful industrial application is carried out, where it has been shown that both the supply water temperature and the rate of the changes of the steam flow-rate can be controlled well inside their targeted ranges when the process is subjected to unknown variations of its dynamics.« less

Authors:
; ; ;
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1411926
Report Number(s):
PNNL-SA-124295
DOE Contract Number:
AC05-76RL01830
Resource Type:
Conference
Resource Relation:
Conference: IFAC PapersOnLine, 50-1(2017):1877-1884
Country of Publication:
United States
Language:
English
Subject:
Adaptive signal approacg; Dual rate control; Industrial heat supply systems

Citation Formats

Chai, Tianyou, Jia, Yao, Wang, Hong, and Su, Chun-Yi. Dual Rate Adaptive Control for an Industrial Heat Supply Process Using Signal Compensation Approach. United States: N. p., 2017. Web. doi:10.1016/j.ifacol.2017.08.258.
Chai, Tianyou, Jia, Yao, Wang, Hong, & Su, Chun-Yi. Dual Rate Adaptive Control for an Industrial Heat Supply Process Using Signal Compensation Approach. United States. doi:10.1016/j.ifacol.2017.08.258.
Chai, Tianyou, Jia, Yao, Wang, Hong, and Su, Chun-Yi. Sun . "Dual Rate Adaptive Control for an Industrial Heat Supply Process Using Signal Compensation Approach". United States. doi:10.1016/j.ifacol.2017.08.258.
@article{osti_1411926,
title = {Dual Rate Adaptive Control for an Industrial Heat Supply Process Using Signal Compensation Approach},
author = {Chai, Tianyou and Jia, Yao and Wang, Hong and Su, Chun-Yi},
abstractNote = {The industrial heat supply process (HSP) is a highly nonlinear cascaded process which uses a steam valve opening as its control input, the steam flow-rate as its inner loop output and the supply water temperature as its outer loop output. The relationship between the heat exchange rate and the model parameters, such as steam density, entropy, and fouling correction factor and heat exchange efficiency are unknown and nonlinear. Moreover, these model parameters vary in line with steam pressure, ambient temperature and the residuals caused by the quality variations of the circulation water. When the steam pressure and the ambient temperature are of high values and are subjected to frequent external random disturbances, the supply water temperature and the steam flow-rate would interact with each other and fluctuate a lot. This is also true when the process exhibits unknown characteristic variations of the process dynamics caused by the unexpected changes of the heat exchange residuals. As a result, it is difficult to control the supply water temperature and the rates of changes of steam flow-rate well inside their targeted ranges. In this paper, a novel compensation signal based dual rate adaptive controller is developed by representing the unknown variations of dynamics as unmodeled dynamics. In the proposed controller design, such a compensation signal is constructed and added onto the control signal obtained from the linear deterministic model based feedback control design. Such a compensation signal aims at eliminating the unmodeled dynamics and the rate of changes of the currently sample unmodeled dynamics. A successful industrial application is carried out, where it has been shown that both the supply water temperature and the rate of the changes of the steam flow-rate can be controlled well inside their targeted ranges when the process is subjected to unknown variations of its dynamics.},
doi = {10.1016/j.ifacol.2017.08.258},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Jul 09 00:00:00 EDT 2017},
month = {Sun Jul 09 00:00:00 EDT 2017}
}

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