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

Jonathan W. Anders; Matthew Franchek

doi:10.1115/IMECE2005-79030

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

Jonathan W. Anders, Matthew Franchek

Research Institute

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	Proceedings of the ASME Dynamic Systems and Control Division 2005
Pages	281-288
Number of pages	8
Volume	74 DSC
Edition	1 PART A
DOIs	https://doi.org/10.1115/IMECE2005-79030
State	Published - Dec 1 2005
Event	2005 ASME International Mechanical Engineering Congress and Exposition, IMECE 2005 - Orlando, FL, United States Duration: Nov 5 2005 → Nov 11 2005

Other

Other	2005 ASME International Mechanical Engineering Congress and Exposition, IMECE 2005
Country/Territory	United States
City	Orlando, FL
Period	11/5/05 → 11/11/05

ASJC Scopus subject areas

Mechanical Engineering
Software

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10.1115/IMECE2005-79030

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Anders, JW & Franchek, M 2005, Nonlinear adaptive engine speed control using an instrumental variables approach and a truncated volterra series. in Proceedings of the ASME Dynamic Systems and Control Division 2005. 1 PART A edn, vol. 74 DSC, pp. 281-288, 2005 ASME International Mechanical Engineering Congress and Exposition, IMECE 2005, Orlando, FL, United States, 11/5/05. https://doi.org/10.1115/IMECE2005-79030

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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.",

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N2 - 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.

AB - 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.

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BT - Proceedings of the ASME Dynamic Systems and Control Division 2005

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

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