Artificial Intelligence for Combustion Engine Control Technical University of Munich

Format:

Conference/Event

Author/Creator:

Lenz, Ulrich, author.

Conference Name:

International Congress & Exposition (1996-02-26 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 1996

Summary:

Existing electronic combustion engine control systems only guarantee a desired air-to-fuel-ratio λ in stationary operation. In order to achieve the desired λ also in in-stationary use of the engine, it is necessary to use new-technology-based control systems.Artificial Intelligence provides methods to cope with difficulties like wide operation range, unknown nonlinearities and time delay.We will propose a strategy for control of a Spark Ignition Engine to determine the mass of air inside the combustion chambers with the highest accuracy. Since Neural Networks are universal approximators for multidimensional nonlinear static functions they can be used effectively for identification and compensation purposes of unknown nonlinearities in closed control loops

Notes:

Vendor supplied data

Publisher Number:

960328

Access Restriction:

Restricted for use by site license