Model predictive engine air-ratio control using online sequential extreme learning machine

UM > Faculty of Science and Technology

Status	已發表Published
	Model predictive engine air-ratio control using online sequential extreme learning machine
	Wong, P. K.; Wong, H. C.; Vong, C. M.; Xie, Z. C.; Huang, S. J.
	2016
Source Publication	Neural Computing and Applications (SCI-E)
ISSN	0941-0643
Pages	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.
Keyword	Online sequential extreme learning machine Nonlinear model predictive control Automotive engine Air-ratio
Language	英語English
The Source to Article	PB_Publication
PUB ID	15402
Document Type	Journal article
Collection	Faculty of Science and Technology
Corresponding Author	Wong, P. K.
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 (SCI-E), 2016, 79-92.
APA	Wong, P. K.., Wong, H. C.., Vong, C. M.., Xie, Z. C.., & Huang, S. J. (2016). Model predictive engine air-ratio control using online sequential extreme learning machine. Neural Computing and Applications (SCI-E), 79-92.
MLA	Wong, P. K.,et al."Model predictive engine air-ratio control using online sequential extreme learning machine".Neural Computing and Applications (SCI-E) (2016):79-92.

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