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.
- Dynamic Systems and Control Division
Parameter-Dependent Identification of the Intake Manifold System Dynamics in Spark Ignition Engines Using LPV Methods
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Zope, RA, Mohammadpour, J, Grigoriadis, K, Franchek, M, & Wang, Y. "Parameter-Dependent Identification of the Intake Manifold System Dynamics in Spark Ignition Engines Using LPV Methods." Proceedings of the 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. pp. 635-642. ASME. https://doi.org/10.1115/DSCC2011-6015
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