摘要
本文依据质量守恒原理,导出了河流水质系统的随机状态模型,采用卡尔曼滤波对模型中的参数进行估计。通过对实例的计算机仿真和检验,证明辨识方法是正确的,随机状态模型是可靠的。基于随机状态模型,提出了用卡尔曼滤波和序列滤波两种方法,以能够立即测定的DO 浓度来实时估计不易测定的 BOD 浓度。通过应用实例,证明用 DO 浓度估计 BOD 浓度是可行的。
According to the mass balance principle,the random state model of river water quality system was derived in this paper,and.the Kalman filter was applied to estimate the model parameters.By the ease study,it was verified that the identificaton method was correct and the random state model was reliable.Based on the random state model,the Kalman filter and sequential filter were presented to estimate the BOD concentration only using the DO concentration which can be measured immediately.By the case examination,it was verified that using DO concentration to estimate BOD concentration was feasible.
关键词
河流
水质模型
随机状态方程
滤波
状态估计
river
water quality model
random state equation
filter
system identification
state estimation
simulation
