Simultaneous estimation of ammonia injection rate and state of diesel urea-SCR system based on high gain observer. (July 2022)

• Record Type: Journal Article
• Authors: Wei, Li; Zhang, Hong; Sun, Chuan; Yan, Fuwu
• Is Part Of: ISA transactions. Volume 126(2022)
• Page Start: 679
• Page End: 690
• Publication Date: 2022-07
• Subjects: Urea-SCR system -- High-gain observer -- NH3 injection rate -- Simultaneous estimation; Engineering instruments -- Periodicals; Engineering instruments; Periodicals; Electronic journals; 629.805
• DOI: 10.1016/j.isatra.2021.08.002
• Languages: English
• ISSNs: 0019-0578

Abstract

Abstract: Selective catalytic reduction (SCR) controller achieves high NO x conversion and low NH3 slip primarily by means of controlling the rate and timing of injection of urea solution. No any low-cost commercial sensor can directly measure the actual ammonia (NH3 ) injection rate currently; thus, it is necessary to propose a numerical method to estimate the actual NH3 injection rate, which helps stabilization of emission control performances of a diesel SCR system during its service life cycle. A three-state nonlinear model was established and a method for designing high-gain observer (HGO) was studied so that those state variables such as NH3 injection rate, NO x concentrations, NH3 concentrations and NH3 coverage ratio can be estimated simultaneously. Such design method only requires bounded unknown input dynamics rather than any assumption of the fact how the unknown input changes. The simulation verification was performed by the ETC test cycles and qualitative and quantitative analysis of estimation errors were carried out. Compared with the extended Kalman filter (EKF) observer, the proposed high-gain observer has a higher estimation accuracy and better target traceability. Highlights: A three-state nonlinear model was established to describe the dynamics of SCR system. NH3 injection rate and states of a SCR system were estimated by HGO simultaneously. The design method only requires the limited input ammonia concentration dynamics. Both qualitative and quantitative analysis of estimation errors were carried out. The HGO has higher estimation accuracy and better traceability compared with the EKF.