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

Abstract 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.

[1]  Okko H. Bosgra,et al.  System identification for achieving robust performance , 2012, Autom..

[2]  Chris Manzie,et al.  Model Reduction of Turbocharged (TC) Spark Ignition (SI) Engines , 2011, IEEE Transactions on Control Systems Technology.

[3]  Frank Willems,et al.  Disturbance Rejection in Diesel Engines for Low Emissions and High Fuel Efficiency , 2015, IEEE Transactions on Control Systems Technology.

[4]  Francesco Borrelli,et al.  Toward a Systematic Design for Turbocharged Engine Control , 2010 .

[5]  Lars Eriksson,et al.  Modeling and Control of Engines and Drivelines , 2014 .

[6]  Pedro Piqueras,et al.  Representation Limits of Mean Value Engine Models , 2012 .

[7]  Harald Waschl,et al.  A Design Framework for Predictive Engine Control , 2011 .

[8]  Rik Pintelon,et al.  System Identification: A Frequency Domain Approach , 2012 .

[9]  Rolf Johansson,et al.  Multiple-Input Multiple-Output Model Predictive Control of a Diesel Engine , 2010 .

[10]  Chris Manzie,et al.  Robust stable economic MPC with applications in engine control , 2014, 53rd IEEE Conference on Decision and Control.

[11]  T. McKelvey,et al.  Non-parametric frequency response estimation using a local rational model , 2012 .

[12]  Marc M. J. van de Wal,et al.  Connecting System Identification and Robust Control for Next-Generation Motion Control of a Wafer Stage , 2014, IEEE Transactions on Control Systems Technology.

[13]  Brian D. O. Anderson,et al.  Model validation for control and controller validation in a prediction error identification framework - Part I: theory , 2003, Autom..

[14]  Rik Pintelon,et al.  Linear System Identification in a Nonlinear Setting: Nonparametric Analysis of the Nonlinear Distortions and Their Impact on the Best Linear Approximation , 2016, IEEE Control Systems.

[15]  M Maarten Steinbuch,et al.  A control oriented multivariable identification procedure for turbocharged diesel engines , 2016 .

[16]  Stefan Breuer,et al.  Mean Value Engine Models Applied to Control System Design and Validation , 2010 .

[17]  H. Hjalmarsson,et al.  Dynamic Mapping of Diesel Engine through System Identification , 2011 .

[18]  Rolf Isermann,et al.  Engine Modeling and Control , 2014 .