Integrated Design of Control and Diagnostics for Air and Fuel Management System in SI Engines The Ohio State University, Department of Mechanical Engineeringand Center for Automotive Research

Format:

Conference/Event

Author/Creator:

Kim, Yong Wha, author.

Conference Name:

International Congress & Exposition (1998-02-23 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 1998

Summary:

The use of mathematical models derived from physical principles is gaining more widespread acceptance for automotive control and diagnostic applications. A suitable mathematical model may reduce, though not eliminate, the need for empirical calibrations, and may help in accommodating changes in operating conditions, external disturbances, vehicle to vehicle variability, aging et cetera Recent studies have shown that model based approaches for both control and diagnostic design offer a viable alternative to empirical methods for industrial applications. However, until recently, model-based control and diagnostic algorithms have been designed separately, without considering their interactions explicitly. As a consequence, the performance of these algorithms may be limited, and even deteriorated in the presence of modeling uncertainty and disturbance. To overcome this difficulty, a method for the systematic integration of control and diagnostic modules is proposed in this paper, and is applied to the control and diagnosis of air and fuel dynamics in an internal combustion engine. Some experimental and simulation results will be included to illustrate the possible advantages of the proposed method

Notes:

Vendor supplied data

Publisher Number:

980520

Access Restriction:

Restricted for use by site license