Parameter identification for SCR systems based on improved chaos optimization algorithm
The SCR system is an important component of the emission aftertreatment systems for diesel engines and is primarily responsible for reducing NOx emissions.With increasingly stringent emission regulations,the control technology based on precise models for SCR systems is becoming an inevitable choice.During the working process of SCR systems,the model parameters will be shifted due to aging,wear and other effects.In particular,catalyst sulfur poisoning can cause a severe drop in the maximum ammonia adsorption capacity,which can lead to the failure of the SCR system.In this paper,a stepped-up chaos optimization algorithm with single search algorithm(SCOA+SSA)is proposed to solve multi-parameter online identification for SCR systems.This method can simultaneously identify eight key parameters in the chemical reaction kinetics of the SCR system.The experimental results show that this method can identify new system parameters in real time when the maximum adsorption capacity of ammonia decreases in steps,that as compared to the traditional SCOA method,the identification accuracy of the proposed SCOA+SSA method is improved by 5.44%with a computational time penalty of 2.9%.
automatic control technologyparameter online identificationstepped-up chaos optimization algorithmSCR systems
万方数据
维普
