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机构地区:[1]浙江大学工业控制技术国家重点实验室,先进控制研究所,浙江杭州310027
出 处:《化工学报》2008年第7期1761-1767,共7页CIESC Journal
基 金:国家高技术研究发展计划项目(2007AA04Z172);国家创新研究群体科学基金项目(60421002)~~
摘 要:纯碱生产装置中的碳化塔既是多相反应器又是多步结晶器,其中包含了吸收、反应、多相流、传热和传质等多种复杂的物理、化学过程。本文以某纯碱厂碳化系统为背景,将模型预测控制软件应用于5组共25座碳化塔中,开发了一个包含上百个被控变量、操纵变量和干扰变量的多变量预测控制器来解决该碳化系统的约束多变量控制问题。工业应用结果表明:模型预测控制软件能够确保碳化系统长期在最佳状态运行,进而降低物料消耗、改善产品质量和节省操作费用,使生产效益得到优化。The carbonation column used in manufacture of soda ash is not only a multiphase reactor but also a multistage crystallizer. The complex processes include chemical absorption, reactive precipitation, multiphase flow, heat and mass transfer, and other physico-chemical processes taking place in the column. Industrial application of a commercial software of model predictive control (MPC) for five groups of twenty-five carbonation columns in a soda plant was introduced in this paper. An MPC system, which was composed of nearly one hundred controlled variables, manipulated variables and disturbance variables, was developed to deal with the constrained multivariable control problem on-line of the carbonation columns. Industrial application results showed that the MPC software could ensure the best operation for a long time and realize the ultimate highest operation potential of the carbonation systems by reducing the consumption of materials, improving product quality, and minimizing operating cost.
分 类 号:TP31[自动化与计算机技术—计算机软件与理论]
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