@inproceedings{dd2b20ada1c64103bbfc640bd2302c3e,
title = "Nonlinear adaptive engine speed control using an instrumental variables approach and a truncated volterra series",
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.",
author = "Anders, {Jonathan W.} and Matthew Franchek",
year = "2005",
doi = "10.1115/IMECE2005-79030",
language = "English (US)",
isbn = "0791842169",
series = "American Society of Mechanical Engineers, Dynamic Systems and Control Division (Publication) DSC",
number = "1 PART A",
pages = "281--288",
booktitle = "Proceedings of the ASME Dynamic Systems and Control Division 2005",
edition = "1 PART A",
note = "2005 ASME International Mechanical Engineering Congress and Exposition, IMECE 2005 ; Conference date: 05-11-2005 Through 11-11-2005",
}