Engine dynamics identification in the case of non-uniformly sampled data

Author

Boubal, Olivier ; Lahalle, Elisabeth ; Nita, Livia

Author_Institution

Dept. of Meas., Ecole Superieure d´´Electr., Gif-sur-Yvette, France

Volume

2

fYear

2000

fDate

2000

Firstpage

1024

Abstract

Irregular sampling occurs in several applications such as geophysics, laser Doppler anemometry or engine control. In this paper a new parametric spectral estimation method is addressed. It is based on a continuous time ARMA model of the signal. A specific inversion criterion is defined to estimate spectral parameters. This criterion is based on the difference between two estimators of the correlation function. A specific algorithm has been designed to minimize this criterion. The whole procedure is applied to space-time conversion in the automotive field. Results show good performances even when the mean sampling frequency is below the Nyquist frequency

Keywords

autoregressive moving average processes; correlation methods; internal combustion engines; inverse problems; parameter estimation; signal sampling; spectral analysis; velocity measurement; Nyquist frequency; automotive field.; continuous time ARMA model; engine control; engine dynamics identification; geophysics; inversion criterion; laser Doppler anemometry; mean sampling frequency; non-uniformly sampled data; parametric spectral estimation; space-time conversion; spectral parameters; Algorithm design and analysis; Automotive engineering; Engines; Frequency; Geophysics; Laser modes; Optical control; Parameter estimation; Sampling methods; Vehicle dynamics;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference, 2000. IMTC 2000. Proceedings of the 17th IEEE

Conference_Location

Baltimore, MD

ISSN

1091-5281

Print_ISBN

0-7803-5890-2

Type

conf

DOI

10.1109/IMTC.2000.848896

Filename

848896