Nonlinear adaptive engine speed control using an instrumental variables approach and a truncated volterra series

Jonathan W. Anders, Matthew Franchek

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Scopus citations

    Abstract

    An instrumental variable approach to nonlinear model-based adaptive control of engine speed is investigated and implemented on a spark ignition internal combustion engine. A four-step version of the instrumental variable parameter estimation algorithm is used to identify a bias-free and noise tolerant model of the engine dynamics between the by-pass air valve voltage and engine speed. The parametric model representing the engine dynamics is a truncated Volterra series with a time delay. Model-based adaptive control is accomplished through a partitioned inversion of the engine model which is minimum phase and OL stable. The desired closed loop throttle response and disturbance rejection dynamics are introduced via a two-degree-of-freedom feedback control structure. Performance of the nonlinear model-based adaptive control algorithm is verified experimentally.

    Original languageEnglish (US)
    Title of host publicationProceedings of the ASME Dynamic Systems and Control Division 2005
    Pages281-288
    Number of pages8
    Edition1 PART A
    DOIs
    StatePublished - 2005
    Event2005 ASME International Mechanical Engineering Congress and Exposition, IMECE 2005 - Orlando, FL, United States
    Duration: Nov 5 2005Nov 11 2005

    Publication series

    NameAmerican Society of Mechanical Engineers, Dynamic Systems and Control Division (Publication) DSC
    Number1 PART A
    Volume74 DSC

    Other

    Other2005 ASME International Mechanical Engineering Congress and Exposition, IMECE 2005
    Country/TerritoryUnited States
    CityOrlando, FL
    Period11/5/0511/11/05

    ASJC Scopus subject areas

    • Mechanical Engineering
    • Software

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