Title

铅锌烧结过程透气性状态及热状态优化控制

Translated Titles

Optimization Control of Permeability and Heat Status for Lead-Zinc Sintering Process

Authors

杜玉晓(Yu-Xiao Du);吴敏(Min Wu);桂卫华(Wei-Hua Gui)

Key Words

铅锌烧结过程 ; 惩罚函数法 ; 基于聚类点的并行变步长网格法 ; 最优保存简单遗传算法 ; lead-zinc sintering process ; penalty function method ; parallel uneven grid method based on clustering ; optimum maintaining simple genetic algorithm OMSGA

PublicationName

信息與控制

Volume or Term/Year and Month of Publication

33卷4期(2004 / 08 / 01)

Page #

490 - 494

Content Language

簡體中文

Chinese Abstract

本文针对具有非线性、强耦合、不确定、多约束特性的复杂铅锌密闭鼓风烧结过程,采用神经网络模型实现了透气性状态和烧穿点位置预测,集成惩罚函数法、基于聚类点的并行变步长网格法和最优保存简单遗传算法(OMSGA)进行状态整体优化。算法具有全局收敛性和工业有效性,解决了复杂铅锌烧结过程实时智能优化控制问题,取得了较好的工业应用效果。

English Abstract

The complex imperial sintering process possesses strong nonlinear, strong coupling, uncertain and multi-constrained features. In the paper, the neural network models are used to predict the permeability and burn through point (BTP), and the penalty function, parallel uneven grid method based on clustering and optimum maintaining simple genetic algorithm (OMSGA) are used to complete optimization of the whole status. The algorithm is globally convergent and industrially effective, resolves the real-time intelligent optimal control problem in complex imperial sintering process, and can be applied to practical industrial process with better results.

Topic Category 基礎與應用科學 > 資訊科學
工程學 > 土木與建築工程
工程學 > 電機工程