Model predictive engine air-ratio control using online sequential extreme learning machine
Wong P.K.; Wong H.C.; Vong C.M.; Xie Z.; Huang S.
2016
Source PublicationNeural Computing and Applications
ISSN09410643
Volume27Issue:1Pages:79-92
Abstract

Air-ratio is an important engine parameter that relates closely to engine emissions, power, and brake-specific fuel consumption. Model predictive controller (MPC) is a well-known technique for air-ratio control. This paper utilizes an advanced modelling technique, called online sequential extreme learning machine (OSELM), to develop an online sequential extreme learning machine MPC (OEMPC) for air-ratio regulation according to various engine loads. The proposed OEMPC was implemented on a real engine to verify its effectiveness. Its control performance is also compared with the latest MPC for engine air-ratio control, namely diagonal recurrent neural network MPC, and conventional proportional–integral–derivative (PID) controller. Experimental results show the superiority of the proposed OEMPC over the other two controllers, which can more effectively regulate the air-ratio to specific target values under external disturbance. Therefore, the proposed OEMPC is a promising scheme to replace conventional PID controller for engine air-ratio control.

KeywordAir-ratio Automotive Engine Nonlinear Model Predictive Control Online Sequential Extreme Learning Machine
DOI10.1007/s00521-014-1555-7
URLView the original
Indexed BySCI
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000369995700010
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Citation statistics
Cited Times [WOS]:20   [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. Model predictive engine air-ratio control using online sequential extreme learning machine[J]. Neural Computing and Applications,2016,27(1):79-92.
APA Wong P.K.,Wong H.C.,Vong C.M.,Xie Z.,&Huang S..(2016).Model predictive engine air-ratio control using online sequential extreme learning machine.Neural Computing and Applications,27(1),79-92.
MLA Wong P.K.,et al."Model predictive engine air-ratio control using online sequential extreme learning machine".Neural Computing and Applications 27.1(2016):79-92.
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