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全局优化视角下的有色冶金过程建模与控制
引用本文:周晓君,阳春华,桂卫华.全局优化视角下的有色冶金过程建模与控制[J].控制理论与应用,2015,32(9):1158-1169.
作者姓名:周晓君  阳春华  桂卫华
作者单位:中南大学信息科学与工程学院,中南大学信息科学与工程学院,中南大学信息科学与工程学院
基金项目:国家自然科学基金创新研究群体科学基金项目(61321003), 国家自然科学基金重点项目(61134006), 国家自然科学基金项目(61503416)资助.
摘    要:为提高生产效率、降低能源消耗、减少环境污染,需要对有色冶金过程进行建模,在系统模型的基础上,通过控制与优化技术,使过程系统运行在最优工况.本文以几个典型有色冶金过程为背景,阐述有色冶金过程建模、控制与优化三者之间的内在关联;从科学研究层次的角度上指出建模、控制与优化分属于不同层次的问题,且从方法论的角度指出建模、控制分两步进行:选择模型结构和估计模型参数、选择控制器结构和整定控制器参数,有色冶金过程系统模型、控制器的结构和参数确定问题均可以看成是非凸优化问题;探讨了全局优化视角下,建模、控制问题转化为优化问题以及在求解优化问题过程中存在的难点,提出解决这些难点的一些可行方案.

关 键 词:有色冶金过程    系统建模    过程控制    全局优化
收稿时间:4/2/2015 12:00:00 AM
修稿时间:2015/5/12 0:00:00

Modeling and control of nonferrous metallurgical processes on the perspective of global optimization
zhou xiaojun,YANG Chun-hua and guiweihua.Modeling and control of nonferrous metallurgical processes on the perspective of global optimization[J].Control Theory & Applications,2015,32(9):1158-1169.
Authors:zhou xiaojun  YANG Chun-hua and guiweihua
Affiliation:School of Information Science DdDd Engineering, Central South University,School of Information Science & Engineering, Central South University,School of Information Science & Engineering, Central South University
Abstract:To improve productivity, reduce energy consumption and environmental pollution for a nonferrous metal- lurgical process, it is necessary to build a model and based on the model we can apply control techniques to operate the process in a possibly global optimal way. We illustrate the relationship between modeling, control and optimization for several classical nonferrous metallurgical processes, showing that they are different problems on different levels in terms of the proposed hierarchy of scientific research. Both modeling and control consist of two steps: the structure selection and parameter optimization. The parameter optimization can generally be considered as a nonconvex optimization problem. The difficulties in transforming modeling and control into an optimization problem as well as finding the corresponding solutions are discussed on the perspective of global optimization.
Keywords:nonferrous metallurgical process  system modeling  process control  global optimization
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