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机构地区:[1]浙江工业大学信息工程学院,浙江杭州310023 [2]浙江大学智能系统与控制研究所,浙江杭州310027
出 处:《南京理工大学学报》2014年第1期65-71,共7页Journal of Nanjing University of Science and Technology
基 金:国家"863"计划资助项目(2012AA040305)
摘 要:为了提高纯碱生产蒸氨过程的综合自动化水平、实现节能降耗,该文在单座蒸氨塔预测控制的基础上,提出了一种蒸氨过程智能协调优化控制策略。针对蒸氨过程大时滞、时变、多变量耦合等复杂特性和多座蒸氨塔并行作业的运行情况,建立了蒸氨塔动态数学模型,并将单塔两层优化控制与多塔智能协调优化相结合,实现了蒸氨过程的智能优化控制。仿真与工业应用结果表明,上述方法不仅能明显改善过程控制性能,而且能实现每吨纯碱降低氨耗0.21 kg、蒸汽消耗16 kg的节能降耗效果。In order to improve the automatic level of steamed ammonia production,save energy and reduce consumption in soda manufacture,this paper proposes an intelligent coordinated optimization control strategy for the ammonia distillation process,based on predictive control of single ammonia distillation towers. Facing the operation of ammonia process with large time delay,time-varying,mult-ivariable coupling and parallel operation of distillation towers, the dynamic mathematical model of ammonia evaporation tower is established. Afterwards the two layer optimization control of single towers is cooperated with multi-tower intelligent coordination and optimization, the intelligent optimization control of ammonia process is thus realized. Simulation results and industrial application illustrate that the strategies achieve better control performance,reduce 0. 21 kg ammonia and 16 kg steam consumptions per ton of soda.
分 类 号:TP273[自动化与计算机技术—检测技术与自动化装置]
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