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 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

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10.1115/DSCC2011-6015

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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

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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.",

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AU - Zope, Rohit A.

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AU - Franchek, Matthew

AU - Wang, Yue Yun

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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.

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

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