Fault Tolerance Automotive Air-Ratio Control Using Extreme Learning Machine Model Predictive Controller
Joint Authors
Wong, Ka In
Wong, Pak Kin
Iong, Tong Meng
Vong, Chi Man
Gao, Xiang Hui
Wong, Hang-cheong
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-26
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Wong, Pak Kin& Wong, Hang-cheong& Vong, Chi Man& Iong, Tong Meng& Wong, Ka In& Gao, Xiang Hui. 2015. Fault Tolerance Automotive Air-Ratio Control Using Extreme Learning Machine Model Predictive Controller. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1073505
Modern Language Association (MLA)
Wong, Pak Kin…[et al.]. Fault Tolerance Automotive Air-Ratio Control Using Extreme Learning Machine Model Predictive Controller. Mathematical Problems in Engineering No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1073505
American Medical Association (AMA)
Wong, Pak Kin& Wong, Hang-cheong& Vong, Chi Man& Iong, Tong Meng& Wong, Ka In& Gao, Xiang Hui. Fault Tolerance Automotive Air-Ratio Control Using Extreme Learning Machine Model Predictive Controller. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1073505
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073505