Identification of control-relevant diesel engine models using a local linear parametric approach

Onderzoeksoutput: Bijdrage aan tijdschriftCongresartikelAcademicpeer review

5 Citaten (Scopus)
72 Downloads (Pure)

Samenvatting

Control is essential to meet future emission requirements in combustion engines. Accurate models are required to design a controller that achieves robust performance over a range of operating conditions. The aim of this paper is to develop a non-parametric and parametric identification procedure that is specifically tailored towards high performance diesel engine control, while minimizing measurement time. First, a non-parametric identification is proposed where the inputs are excited with multisines. A Local Rational Method (LRM) is employed to obtain multivariable Frequency Response Functions (FRFs) in a single experiment. Secondly, a parametric identification procedure uses the non-parametric estimates to obtain control-relevant parametric models. The identification procedure is demonstrated using a modern Heavy-Duty Diesel (HDD) engine providing highly accurate low order parametric models for a 2x2 plant using just 300s of measurement time at an engine operating point.

Originele taal-2Engels
Pagina's (van-tot)7836-7841
Aantal pagina's6
TijdschriftIFAC-PapersOnLine
Volume50
Nummer van het tijdschrift1
DOI's
StatusGepubliceerd - 1 jul 2017
Evenement20th World Congress of the International Federation of Automatic Control (IFAC 2017 World Congress) - Toulouse, Frankrijk
Duur: 9 jul 201714 jul 2017
Congresnummer: 20
https://www.ifac2017.org/

Vingerafdruk Duik in de onderzoeksthema's van 'Identification of control-relevant diesel engine models using a local linear parametric approach'. Samen vormen ze een unieke vingerafdruk.

  • Citeer dit