Research on Intelligent Optimal Control of Wastewater Treatment with Oxidation Ditch

被引：0

作者：

Li, Jie ^{[1
]}

Liu, Wei ^{[1
]}

Xuan, Shanli ^{[1
]}

Cheng, Gang ^{[2
]}

Xiang, Yunhui ^{[2
]}

机构：

[1] Hefei Univ Technol, Sch Comp & Informat, Hefei, Peoples R China

[2] Water Co Huangshan City, Huangshan, Peoples R China

来源：

2014 INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING AND AUTOMATION (ICMEA) | 2014年

关键词：

wastewater treatment; optimal control; particle swarm optimization; oxidation ditch;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The wastewater treatment process has the characteristics of nonlinear, large time delay, multivariate and randomness. However, if traditional methods are used to control, it will be less effective and high energy consumption. By introducing intelligent optimization control algorithm, it can effectively save energy. Genetic algorithm and particle swarm optimization algorithm is very popular optimized control algorithm. This paper compares optimization effect of the genetic algorithm with particle swarm optimization in the process control of wastewater treatment employing oxidation ditch. And particle swarm algorithm has been improved in this paper. Compared with traditional particle swarm algorithm, the improved particle swarm algorithm enhanced convergence.

引用

页码：227 / 232

页数：6

共 8 条

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