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Model Free Adaptive Predictive Control of Desulfurization Slurry pH Based on CPS Framework
Authors:Jian Liu  Xiaoli Li  Kang Wang  Fuqiang Wang  Guimei Cui
Affiliation:Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China;Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China;Beijing Key Laboratory of Computational Intelligence and Intelligent System, Ministry of Education, Beijing 100124, China;Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing 100124, China;TechnologyResearch Center, Shenhua Guohua (Beijing) Electric Power Research Institute Corporation, Beijing 100025, China; School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou 014010, China
Abstract: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.
Keywords:wet flue gas desulfurization  slurry pH  cyber physical systems  model free adaptive predictive control  tracking control
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