Researches on Modeling and Intelligent Optimization Method of Scheduling for the Process of Alumina Ore-burden Energy Saving Oriented

被引：0

作者：

Yin, Erwei ^{[1
]}

Zou, Fengxing ^{[1
]}

Gao, Zheng ^{[1
]}

Zou, Fantian ^{[1
]}

机构：

[1] Natl Univ Def Technol, Dept Automat Control, Coll Mechatron Engn & Automat, Changsha, Hunan, Peoples R China

来源：

2010 8TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA) | 2010年

关键词：

modeling; optimal scheduling; ore-burden; Hybrid Particle Swarm Optimization;

D O I：

10.1109/WCICA.2010.5554076

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In order to solve the problem as too many uncertain factors, heavy workload in calculation, the difficulty of obtaining an optimal scheme, and the waste of energy caused by the irrational structure of production exist in the process of alumina ore-burden, with the minimum of energy consumption as the objective function, consider the production experience, a unified ore-burden in sintering and Bayer process model of optimal scheduling is established in this paper. Considering the existence of nonlinearity, multiple constraints and multiple cycles, a hybid Particle Swarm Optimization with mutation parameter was used to get the optimum solution. Finally, the computation results with industry running data show that optimal scheduling scheme with minimum energy consumption can be obtained efficiently.

引用

页码：4477 / 4481

页数：5