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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