Intelligent Estimate Method for Biological Wastewater Treatment System Model Parameters
Due to the limitation of current monitoring and analysis method, many parameters of activated sludge models can not be directly or accurately determined. The model parameters are uncertain, and the model parameters used in different environments can not take the same parameter values. To remedy such a situation, an intelligent estimate method for model parameters was proposed based on improved immune algorithm. In the improved immune algorithm, a periodically varying mutation operator and an immune selection operator with integrated evaluation index were designed to search ability. It can make the kinetic properties of the model to fit the experimental data as close as possibly. The experimental results show that the improved immune algorithm is of high estimation precision and speed.
NETL
NSTL
万方数据
维普
