氧化铝生料浆制备过程的智能优化控制方法  

Intelligent optimal control of the raw slurry producing process in the alumina production

作　　者：白锐[1,2] 佟绍成[3] 柴天佑[2] 

机构地区：[1]辽宁工业大学电气工程学院,辽宁锦州121001 [2]东北大学流程工业综合自动化国家重点实验室,沈阳110819 [3]辽宁工业大学理学院,辽宁锦州121001

出　　处：《控制与决策》2013年第4期525-530,536,共7页Control and Decision

基　　金：国家自然科学基金项目(61074014);辽宁省自然科学基金项目(201102089);辽宁省高等学校优秀人才支持计划项目(LJQ2011062);流程工业综合自动化国家重点实验室开放课题

摘　　要：生料浆制备过程由配料和调槽两个子过程组成.针对该过程的工艺特点以及不确定性大、原料成分波动等过程特性,提出一种智能优化控制方法.将生料浆制备过程的优化目标分解为两个子过程的优化目标,采用模型预设定、指标在线预报、基于模糊规则的前馈和反馈补偿方法实现了配料子过程的优化控制,采用粒子群算法实现了调槽子过程的优化控制,从而最终实现了生料浆制备过程的优化控制.工业应用的结果表明了所提出方法的有效性.Raw slurry producing process is composed of the blending subprocess and tank combination subprocess. According to the technological characteristics and the complex characteristics of this process, including the uncertainty and the fluctuation of chemical composition of the raw materials, an intelligent optimal control method of the raw slurry producing process is proposed. The optimal control objective of the raw slurry producing process is decomposed into two sub-objectives of the subprocesses. By using the pre-setting model, the predictive models of the quality indices, and the feed forward and feedback compensator, the optimal objective of the blending subprocess is achieved. The optimal objective of the tank combination subprocess is also achieved by using the particle swarm optimization. Thus, the global optimization of the raw slurry producing process is realized. Industrial application shows the effectiveness of the proposed optimal control approach.

关 键 词：生料浆制备过程 优化控制 模型设定 模糊规则 粒子群算法 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]