UM  > Faculty of Science and Technology  > DEPARTMENT OF ELECTROMECHANICAL ENGINEERING
Automotive engine idle speed control optimization using least squares support vector machine and genetic algorithm
P.K. Wong; Lap Mou Tam; K. LI; H.C Wong
2008-10-17
Source PublicationInternational Journal of Intelligent Computing and Cybernetics
ISSN1756378X
Volume1Issue:4Pages:598-616
Abstract

Purpose – Nowadays, automotive engines are controlled by electronic control units (ECUs), and the engine idle speed performance is significantly affected by the setup of control parameters in the ECU. The engine ECU tune-up is done empirically through tests on a dynamometer (dyno). In this way, a lot of time, fuel and human resources are consumed, while the optimal control parameters may not be obtained. The purpose of this paper is to propose a novel ECU setup optimization approach for engine idle speed control. Design/methodology/approach – In the first phase of the approach, Latin hypercube sampling (LHS) and a multi-input/output least squares support vector machine (LS-SVM) is proposed to build up an engine idle speed model based on dyno test data, and then a genetic algorithm (GA) is applied to obtain optimal ECU setting automatically subject to various user-defined constraints. Findings – The study shows that the predicted results using the estimated model from LS-SVM are in good agreement with the actual test results. Moreover, the optimization results show a significant improvement on idle speed performance in a test engine. Practical implications – As the methodology is generic it can be applied to different vehicle control optimization problems. Originality/value – The research is the first attempt to integrate a couple of paradigms (LHS, multi-input/output LS-SVM and GA) into a general framework for constrained multivariable optimization problems under insufficient system information. The proposed multi-input/output LS-SVM for modelling of multi-input/output systems is original, because the traditional LS-SVM modelling approach is suitable for multi-input, but single output systems. Finally, this is the first use of the novel integrated framework for automotive engine idle-speed control optimization. © 2008, Emerald Group Publishing Limited

KeywordElectromechanical Devices Control Technology
DOIhttp://doi.org/10.1108/17563780810919140
URLView the original
Language英语
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Document TypeJournal article
CollectionDEPARTMENT OF ELECTROMECHANICAL ENGINEERING
AffiliationDepartment of Electromechanical Engineering, Faculty of Science and Technology, University of Macau, Macau
First Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
P.K. Wong,Lap Mou Tam,K. LI,et al. Automotive engine idle speed control optimization using least squares support vector machine and genetic algorithm[J]. International Journal of Intelligent Computing and Cybernetics,2008,1(4):598-616.
APA P.K. Wong,Lap Mou Tam,K. LI,&H.C Wong.(2008).Automotive engine idle speed control optimization using least squares support vector machine and genetic algorithm.International Journal of Intelligent Computing and Cybernetics,1(4),598-616.
MLA P.K. Wong,et al."Automotive engine idle speed control optimization using least squares support vector machine and genetic algorithm".International Journal of Intelligent Computing and Cybernetics 1.4(2008):598-616.
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