Extracting physical parameters from system identification of a natural gas engine

Author

Gangopadhyay, Anupam ; Meckl, Peter H.

Author_Institution

Gen. Motors R&D & Planning, Warren, MI, USA

Volume

9

Issue

3

fYear

2001

fDate

5/1/2001 12:00:00 AM

Firstpage

425

Lastpage

434

Abstract

Simulation results are shown for linear system identification carried out to identify key physical parameters of a lean-burn natural gas engine with transmission. The natural gas engine can be described by a nonlinear plant with three states. The dynamic state equations of the model involve parameters that might vary depending on ambient conditions, type of transmission connected to the engine, and parametric variation from engine to engine. Linear system identification is used around an operating point to identify key physical parameters of the nonlinear model (e.g., engine/transmission inertia) that can be used to tune linear or nonlinear controllers

Keywords

internal combustion engines; linear systems; nonlinear control systems; parameter estimation; dynamic state equations; lean-burn natural gas engine; linear controllers; linear system identification; nonlinear controllers; nonlinear plant; Automatic control; Automotive engineering; Electromechanical sensors; Internal combustion engines; Linear systems; Natural gas; Nonlinear equations; Parameter estimation; Predictive models; System identification;

fLanguage

English

Journal_Title

Control Systems Technology, IEEE Transactions on

Publisher

ieee

ISSN

1063-6536

Type

jour

DOI

10.1109/87.918896

Filename

918896