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机构地区:[1]郑州大学电气工程学院,河南郑州450001 [2]河南师范大学新联学院经济与管理系,河南郑州450000
出 处:《郑州大学学报(工学版)》2016年第1期6-9,共4页Journal of Zhengzhou University(Engineering Science)
基 金:国家自然科学基金资助项目(41174127)
摘 要:针对存在非线性、大滞后和多变量互关联等特性的铝电解过程,分析了影响预焙铝电解槽物料平衡和能量平衡主要因素的相互关联关系.基于行为策略思想,建立了铝电解过程的多级分布式关联模型,该系统模型由氧化铝质量分数和电解温度2个二级关联系统和6个三级关联子系统构成.提出了铝电解过程中关于氧化铝质量分数和电解温度的多级分布式控制方案,给出了该系统的多级分布式预估算法和控制算法,确定了各级子系统间的协调机制.各个子系统分工合作、协同运行,获得全局控制功能.仿真结果表明,应用该控制方法后,铝电解动态过程具有较强的鲁棒性和抗干扰能力.The mutual correlation of main factors is analyzed which influences the material balance and energy balance of pre-roasting aluminum electrolytic tank in allusion to such characteristics as nonlinearity,large time-delay and correlation of multivariable in aluminum electrolysis process. Then a multistage-distributed correlation model about aluminum electrolysis process is established based on behavioral approach. The system model consists of two secondary-correlated systems and six related third-level subsystems,which are related to the concentration and electrolytic temperature of alumina. Furthermore,the multistage-distributed control scheme about the concentration and electrolytic temperature of alumina in aluminum electrolysis process is proposed,multistage-distributed predictive algorithms and control algorithms are used to coordinate the operation of different subsystems. The global control performance is achieved through division and cooperation of the subsystems. The simulation results show that the multistage-distributed system built and its control algorithm have remarkable robustness and anti-interference ability in the dynamic aluminum electrolysis process.
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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