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Volume 29Issue 4
Dec. 2020
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Jian Liu, Xiaoli Li, Kang Wang, Fuqiang Wang, Guimei Cui. Model Free Adaptive Predictive Control of Desulfurization Slurry pH Based on CPS Framework[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2020, 29(4): 544-555. doi: 10.15918/j.jbit1004-0579.20084
Citation: Jian Liu, Xiaoli Li, Kang Wang, Fuqiang Wang, Guimei Cui. Model Free Adaptive Predictive Control of Desulfurization Slurry pH Based on CPS Framework[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2020, 29(4): 544-555.doi:10.15918/j.jbit1004-0579.20084

Model Free Adaptive Predictive Control of Desulfurization Slurry pH Based on CPS Framework

doi:10.15918/j.jbit1004-0579.20084
Funds:National Natural Science Foundation of China (61873006, 61673053); National Key Research and Development Project (2018YFC1602704, 2018YFB1702704)
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  • Corresponding author:professor, Ph.D. E-mail:lixiaolibjut@bjut.edu.cn
  • Received Date:2020-07-11
  • Publish Date:2020-12-30
  • In order to improve the slurry pH control accuracy of the absorption tower in the wet flue gas desulfurization process, a model free adaptive predictive control algorithm for the desulfurization slurry pH which is based on a cyber physical systems framework is proposed. First, aiming to address system characteristics of non-linearity and pure hysteresis in slurry pH change process, a model free adaptive predictive control algorithm based on compact form dynamic linearization is proposed by combining model free adaptive control algorithm with model predictive control algorithm. Then, by integrating information resources with the physical resources in the absorption tower slurry pH control process, an absorption tower slurry pH optimization control system based on cyber physical systems is constructed. It is turned out that the model free adaptive predictive control algorithm under the framework of the cyber physical systems can effectively realize the high-precision tracking control of the slurry pH of the absorption tower, and it has strong robustness.
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