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Fault Tolerance Automotive Air-Ratio Control Using Extreme Learning Machine Model Predictive Controller
Wong P.K.; Wong H.C.; Vong C.M.; Iong T.M.; Wong K.I.; Gao X.
2015
Source PublicationMathematical Problems in Engineering
ISSN15635147 1024123X
Volume2015
Abstract

Effective air-ratio control is desirable to maintain the best engine performance. However, traditional air-ratio control assumes the lambda sensor located at the tail pipe works properly and relies strongly on the air-ratio feedback signal measured by the lambda sensor. When the sensor is warming up during cold start or under failure, the traditional air-ratio control no longer works. To address this issue, this paper utilizes an advanced modelling technique, kernel extreme learning machine (ELM), to build a backup air-ratio model. With the prediction from the model, a limited air-ratio control performance can be maintained even when the lambda sensor does not work. Such strategy is realized as fault tolerance control. In order to verify the effectiveness of the proposed fault tolerance air-ratio control strategy, a model predictive control scheme is constructed based on the kernel ELM backup air-ratio model and implemented on a real engine. Experimental results show that the proposed controller can regulate the air-ratio to specific target values within a satisfactory tolerance under external disturbance and the absence of air-ratio feedback signal from the lambda sensor. This implies that the proposed fault tolerance air-ratio control is a promising scheme to maintain air-ratio control performance when the lambda sensor is under failure or warming up.

DOI10.1155/2015/317142
URLView the original
Indexed BySCI
Language英语
WOS Research AreaEngineering ; Mathematics
WOS SubjectEngineering, Multidisciplinary ; Mathematics, Interdisciplinary Applications
WOS IDWOS:000356705900001
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Citation statistics
Cited Times [WOS]:3   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
DEPARTMENT OF ELECTROMECHANICAL ENGINEERING
AffiliationUniversidade de Macau
Recommended Citation
GB/T 7714
Wong P.K.,Wong H.C.,Vong C.M.,et al. Fault Tolerance Automotive Air-Ratio Control Using Extreme Learning Machine Model Predictive Controller[J]. Mathematical Problems in Engineering,2015,2015.
APA Wong P.K.,Wong H.C.,Vong C.M.,Iong T.M.,Wong K.I.,&Gao X..(2015).Fault Tolerance Automotive Air-Ratio Control Using Extreme Learning Machine Model Predictive Controller.Mathematical Problems in Engineering,2015.
MLA Wong P.K.,et al."Fault Tolerance Automotive Air-Ratio Control Using Extreme Learning Machine Model Predictive Controller".Mathematical Problems in Engineering 2015(2015).
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