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 proceedingConference 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 languageEnglish (US)
Title of host publicationASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control, DSCC 2011
Pages635-642
Number of pages8
Volume2
DOIs
StatePublished - Dec 1 2011
EventASME 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 2011Nov 2 2011

Other

OtherASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control, DSCC 2011
CountryUnited States
CityArlington, VA
Period10/31/1111/2/11

ASJC Scopus subject areas

  • Fluid Flow and Transfer Processes
  • Control and Systems Engineering

Fingerprint Dive into the research topics of 'Parameter-dependent identification of the intake manifold system dynamics in spark ignition engines using LPV methods'. Together they form a unique fingerprint.

Cite this