Adaptive and learning control for SI engine model with uncertainties

Tang, Huajin, Weng, Larry, Dong, Zhao Yang and Yan, Rui (2009) Adaptive and learning control for SI engine model with uncertainties. IEEE/ASME Transactions on Mechatronics, 14 1: 93-104. doi:10.1109/TMECH.2008.2004806

Author Tang, Huajin
Weng, Larry
Dong, Zhao Yang
Yan, Rui
Title Adaptive and learning control for SI engine model with uncertainties
Journal name IEEE/ASME Transactions on Mechatronics   Check publisher's open access policy
ISSN 1083-4435
Publication date 2009-02
Sub-type Article (original research)
DOI 10.1109/TMECH.2008.2004806
Volume 14
Issue 1
Start page 93
End page 104
Total pages 12
Place of publication Piscataway, NJ, United States
Publisher IEEE
Language eng
Abstract Air-fuel ratio control is a challenging control problem for port-fuel-injected and throttle-body-fuel-injected spark ignition (SI) engines, since the dynamics of air manifold and fuel injection of the SI engines are highly nonlinear and often with unmodeled uncertainties and disturbance. This paper presents nonlinear control approaches for multi-input multi-output engine models, by developing adaptive control and learning control design methods. Theoretical proofs are established that ensure that proposed controllers are able to give asymptotical tracking performance. As a comparison, the method applying global linearizing controller can give accurate tracking for the engine model without uncertainty and disturbance, but it fails to keep tracking performance when uncertainty is incorporated into the system. Adaptive control and learning control approaches are capable of dealing with both constant uncertainty and time-varying periodic uncertainty. Simulation results illustrate the efficacy of the proposed controllers.
Keyword Adaptive control
Control engineering
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Information Technology and Electrical Engineering Publications
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Citation counts: TR Web of Science Citation Count  Cited 19 times in Thomson Reuters Web of Science Article | Citations
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Created: Thu, 03 Sep 2009, 08:41:29 EST by Mr Andrew Martlew on behalf of School of Information Technol and Elec Engineering