摘要
针对铝用炭阳极系统非线性、多变量、连续特性与离散事件等组合优化问题,研究对炭阳极工艺过程应用混合逻辑动态MLD(Mixed Logical Dynamical)建模与优化的方法,利用遗传算法(GA)并行计算优势进行优化,解决了MLD建模过程中产生的混合整数二次规划问题,从而提高了优化速度,缩短了优化时间。仿真结果表明,基于该算法的炭阳极质量系统建模和寻优可以优化阳极质量,满足炭阳极国际质量指标,生产的炭阳极具有较高体积密度、高抗折强度和低渗透性。
The control of carbon anode production for the aluminum industry involves combinatorial optimization which presents nonlinear, multivariate, continuous and discrete-event features. This paper proposes an optimization method based on mixed logical dynamical(MLD) modeling for the carbon anode process. By using the advantages of parallel computing of genetic algorithm(GA) for optimization, the mixed integer quadratic programming problem is solved. Simulation results show that the proposed method assures the international requirements for anode quality, and the carbon anode has high volume density, high flexural strength and low air permeability.
出处
《控制工程》
CSCD
北大核心
2016年第8期1247-1253,共7页
Control Engineering of China
基金
上海市重点科研计划项目(11510502700)
上海市浦江人才计划(A类
14PJ1407900)
轻工过程先进控制教育部重点实验室开放课题(APCLI1402)
