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Parameter-Dependent Identification of the Intake Manifold System Dynamics in Spark Ignition Engines Using LPV Methods

[+] Author Affiliations
Rohit A. Zope, Javad Mohammadpour, Karolos Grigoriadis, Matthew Franchek

University of Houston, Houston, TX

Yue-Yun Wang

General Motors, Warren, MI

Paper No. DSCC2011-6015, pp. 635-642; 8 pages
  • ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control
  • ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control, Volume 2
  • Arlington, Virginia, USA, October 31–November 2, 2011
  • Conference Sponsors: Dynamic Systems and Control Division
  • ISBN: 978-0-7918-5476-1
  • Copyright © 2011 by ASME and General Motors


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.

Copyright © 2011 by ASME and General Motors



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