LPV Controller Design for Diesel Engine SCR Aftertreatment Systems based on Quasi-LPV Models

Abstract

This paper presents linear parameter-varying (LPV) controller design for the urea-based selective catalytic reduction (SCR) system in diesel engines to reduce nitrogen oxides (NOX) and ammonia (NH3) emissions. Although such LPV SCR controller design has been previously developed, this paper extends it in various ways. The extension includes the usage of NH3 slip sensor for feedback LPV control, the adoption of NOX and NH3 measurements downstream of the catalyst as gain-scheduling parameters, the simultaneous design of feedforward and feedback LPV controllers, and a robustness analysis of the LPV controllers. Quasi-LPV SCR models derived from an existing control-oriented nonlinear parameter-varying model are utilized in the LPV controller design. The LPV controller performance is demonstrated based on an SCR simulation utilizing experimentally obtained engine-out NOX, and exhaust gas temperatures and flow rates. It is shown that the LPV controller provides satisfactory emission performance, as well as robustness against sensor noise and model parameter uncertainty.