Parameter Estimation of Water Quality Model Using Particle Swarm Optimization Technique

被引：0
|
作者：
Wang, Ke [1 ]
Wang, Xiaodong [1 ]
Shen, Li [1 ]
机构：
[1] Zhejiang Normal Univ, Dept Elect Engn, Jinhua 321004, Peoples R China
来源：
CCDC 2009: 21ST CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, PROCEEDINGS | 2009年
关键词：
Water quality model; Parameter estimation; Particle swarm optimization; Dissolved oxygen; Biochemical oxygen demand; GENETIC ALGORITHM; CALIBRATION;
D O I：
10.1109/CCDC.2009.5192418
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 this paper, a new method for solving the parameter estimation problem of water quality model using improved PSO technique is presented. In the improved PSO, the inertial weight decreasing function is a parabola opening upwards rather than the popular linearly decreasing line. In order to demonstrate the scheme, numerical experiments were operated on dissolved oxygen (DO) and biochemical oxygen demand (BOD) model. The results show that the proposed method is still effective even if there is the case of additive noise to exact data.
引用
收藏
页码：1209 / 1214
页数：6
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