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Engine idle-speed system modelling and control optimization using artificial intelligence
P K Wong1; L M Tam1; K Li1; C M Vong2
2010
Source PublicationProceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
ISSN0954-4070
Volume224Issue:1Pages:55-72
Abstract

This paper proposes a novel modelling and optimization approach for steady state and transient performance tune-up of an engine at idle speed. In terms of modelling, Latin hypercube sampling and multiple-input and multiple-output (MIMO) least-squares support vector machines (LS-SVMs) are proposed to build an engine idle-speed model based on experimental sample data. Then, a genetic algorithm (GA) and particle swarm optimization (PSO) are applied to obtain an optimal electronic control unit setting automatically, under various user-defined constraints. All of the above techniques mentioned are artificial intelligence techniques. To illustrate the advantages of the MIMO LS-SVM, a traditional multilayer feedforward neural network (MFN) is also applied to build the engine idle-speed model. The modelling accuracies of the MIMO LS-SVM and MFN are also compared. This study shows that the predicted results using the estimated model from the LS-SVM are in good agreement with the actual test results. Moreover, both the GA and PSO optimization results show an impressive improvement on idle-speed performance in a test engine. The optimization results also indicate that PSO is more efficient than the GA in an idle-speed control optimization problem based on the LS-SVM model. As the proposed methodology is generic, it can be applied to different engine modelling and control optimization problems. 

KeywordControl Optimization Genetic Algorithm Idle-speed Control Least-squares Support Vector Machines Particle Swarm Optimization
DOIhttp://doi.org/10.1243/09544070JAUTO1196
URLView the original
Indexed BySCI
Language英语
WOS Research AreaEngineering ; Transportation
WOS SubjectEngineering, Mechanical ; Transportation Science & Technology
WOS IDWOS:000273895900005
The Source to ArticleScopus
Fulltext Access
Citation statistics
Cited Times [WOS]:43   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF ELECTROMECHANICAL ENGINEERING
DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.Department of Electromechanical Engineering, Faculty of Science and Technology, University of Macau, Taipa, Macao
2.Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, Taipa, Macao
First Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
P K Wong,L M Tam,K Li,et al. Engine idle-speed system modelling and control optimization using artificial intelligence[J]. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering,2010,224(1):55-72.
APA P K Wong,L M Tam,K Li,&C M Vong.(2010).Engine idle-speed system modelling and control optimization using artificial intelligence.Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering,224(1),55-72.
MLA P K Wong,et al."Engine idle-speed system modelling and control optimization using artificial intelligence".Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 224.1(2010):55-72.
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