Parameter estimation of water quality model using particle swarm optimization technique

Authors:
Ke Wang;Xiaodong Wang;Li Shen
Affiliations:
Department of Electronic Engineering, Zhejiang Normal University, Jinhua, P.R. China;Department of Electronic Engineering, Zhejiang Normal University, Jinhua, P.R. China;Department of Electronic Engineering, Zhejiang Normal University, Jinhua, P.R. China
Venue:
CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
Year:
2009

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Abstract

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.