Parameter-dependent identification of the intake manifold system dynamics in spark ignition engines using LPV methods

Rohit A. Zope; Javad Mohammadpour; Karolos Grigoriadis; Matthew Franchek; Yue Yun Wang

doi:10.1115/DSCC2011-6015

Parameter-dependent identification of the intake manifold system dynamics in spark ignition engines using LPV methods

Rohit A. Zope, Javad Mohammadpour, Karolos Grigoriadis, Matthew Franchek, Yue Yun Wang

Research Institute

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Presented in this paper is a Recursive Least Squares (RLS) based algorithm for system identification of Linear Parameter-Varying (LPV) systems. An identification method based on the input-output representation of LPV systems is employed, where the coefficients of the model depend on external parameters assumed to be measurable in real-time. The identification problem is reduced to a problem of linear regression. Application of the proposed method to a quasi-LPV system developed from an intake manifold model of a spark ignition (SI) engine is demonstrated. Simulations performed using the GT-Power simulation tool and experiments performed on a 5.4-L V8 spark-ignition engine are used validate the accuracy of the proposed method.

Original language	English (US)
Title of host publication	ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control, DSCC 2011
Pages	635-642
Number of pages	8
Volume	2
DOIs	https://doi.org/10.1115/DSCC2011-6015
State	Published - Dec 1 2011
Event	ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control, DSCC 2011 - Arlington, VA, United States Duration: Oct 31 2011 → Nov 2 2011

Other

Other	ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control, DSCC 2011
Country/Territory	United States
City	Arlington, VA
Period	10/31/11 → 11/2/11

ASJC Scopus subject areas

Fluid Flow and Transfer Processes
Control and Systems Engineering

Access to Document

10.1115/DSCC2011-6015

Cite this

Zope, R. A., Mohammadpour, J., Grigoriadis, K., Franchek, M., & Wang, Y. Y. (2011). Parameter-dependent identification of the intake manifold system dynamics in spark ignition engines using LPV methods. In ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control, DSCC 2011 (Vol. 2, pp. 635-642) https://doi.org/10.1115/DSCC2011-6015

Parameter-dependent identification of the intake manifold system dynamics in spark ignition engines using LPV methods. / Zope, Rohit A.; Mohammadpour, Javad; Grigoriadis, Karolos et al.
ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control, DSCC 2011. Vol. 2 2011. p. 635-642.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Zope, RA, Mohammadpour, J, Grigoriadis, K, Franchek, M & Wang, YY 2011, Parameter-dependent identification of the intake manifold system dynamics in spark ignition engines using LPV methods. in ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control, DSCC 2011. vol. 2, pp. 635-642, ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control, DSCC 2011, Arlington, VA, United States, 10/31/11. https://doi.org/10.1115/DSCC2011-6015

@inproceedings{3ec1bc82e16041a3b0a44c8957703025,

title = "Parameter-dependent identification of the intake manifold system dynamics in spark ignition engines using LPV methods",

abstract = "Presented in this paper is a Recursive Least Squares (RLS) based algorithm for system identification of Linear Parameter-Varying (LPV) systems. An identification method based on the input-output representation of LPV systems is employed, where the coefficients of the model depend on external parameters assumed to be measurable in real-time. The identification problem is reduced to a problem of linear regression. Application of the proposed method to a quasi-LPV system developed from an intake manifold model of a spark ignition (SI) engine is demonstrated. Simulations performed using the GT-Power simulation tool and experiments performed on a 5.4-L V8 spark-ignition engine are used validate the accuracy of the proposed method.",

author = "Zope, {Rohit A.} and Javad Mohammadpour and Karolos Grigoriadis and Matthew Franchek and Wang, {Yue Yun}",

year = "2011",

month = dec,

day = "1",

doi = "10.1115/DSCC2011-6015",

language = "English (US)",

isbn = "9780791854761",

volume = "2",

pages = "635--642",

booktitle = "ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control, DSCC 2011",

note = "ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control, DSCC 2011 ; Conference date: 31-10-2011 Through 02-11-2011",

}

TY - GEN

T1 - Parameter-dependent identification of the intake manifold system dynamics in spark ignition engines using LPV methods

AU - Zope, Rohit A.

AU - Mohammadpour, Javad

AU - Grigoriadis, Karolos

AU - Franchek, Matthew

AU - Wang, Yue Yun

PY - 2011/12/1

Y1 - 2011/12/1

N2 - Presented in this paper is a Recursive Least Squares (RLS) based algorithm for system identification of Linear Parameter-Varying (LPV) systems. An identification method based on the input-output representation of LPV systems is employed, where the coefficients of the model depend on external parameters assumed to be measurable in real-time. The identification problem is reduced to a problem of linear regression. Application of the proposed method to a quasi-LPV system developed from an intake manifold model of a spark ignition (SI) engine is demonstrated. Simulations performed using the GT-Power simulation tool and experiments performed on a 5.4-L V8 spark-ignition engine are used validate the accuracy of the proposed method.

AB - Presented in this paper is a Recursive Least Squares (RLS) based algorithm for system identification of Linear Parameter-Varying (LPV) systems. An identification method based on the input-output representation of LPV systems is employed, where the coefficients of the model depend on external parameters assumed to be measurable in real-time. The identification problem is reduced to a problem of linear regression. Application of the proposed method to a quasi-LPV system developed from an intake manifold model of a spark ignition (SI) engine is demonstrated. Simulations performed using the GT-Power simulation tool and experiments performed on a 5.4-L V8 spark-ignition engine are used validate the accuracy of the proposed method.

UR - http://www.scopus.com/inward/record.url?scp=84881453009&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84881453009&partnerID=8YFLogxK

U2 - 10.1115/DSCC2011-6015

DO - 10.1115/DSCC2011-6015

M3 - Conference contribution

AN - SCOPUS:84881453009

SN - 9780791854761

VL - 2

SP - 635

EP - 642

BT - ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control, DSCC 2011

T2 - ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control, DSCC 2011

Y2 - 31 October 2011 through 2 November 2011

ER -

Parameter-dependent identification of the intake manifold system dynamics in spark ignition engines using LPV methods

Abstract

Other

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this