Real-Time Diagnosis of the Exhaust Recirculation in Diesel Engines Using Least-Squares Parameter Estimation

摘要

In this paper, we present a real-time parameter identification approach for diagnosingnfaults in the exhaust gas recirculation (EGR) system of Diesel engines. The proposedndiagnostics method has the ability to detect and estimate the magnitude of a leak or anrestriction in the EGR valve, which are common faults in the air handling system of anDiesel engine. Real-time diagnostics is achieved using a recursive-least-squares (RLS)nmethod, as well as, a recursive formulation of a more robust version of the RLS methodnreferred to as recursive total-least-squares method. The method is used to identify thencoefficients in a static orifice flow model of the EGR valve. The proposed approach ofnfault detection is successfully applied to diagnose low-flow or high-flow faults in annengine and is validated using experimental data obtained from a Diesel engine test cellnand a truck. u0001DOI: 10.1115/1.4000655