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) |
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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 | |
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 |
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Country/Territory | United States |
City | Orlando, FL |
Period | 11/5/05 → 11/11/05 |
ASJC Scopus subject areas
- Mechanical Engineering
- Software