NDLI: Model predictive control on wall wetting effect using Markov Chain Monte Carlo

Content Provider	IEEE Xplore Digital Library
Author	Zhengmao Ye Mohamadian, H.
Copyright Year	2013
Description	Author affiliation: Coll. of Eng., Southern Univ., Baton Rouge, LA, USA (Zhengmao Ye; Mohamadian, H.)
Abstract	Wall wetting is a typical phenomenon in Port Fuel Injection (PFI) engines. The injected fuel is atomized into tiny droplets so as to form a mixture of the vaporized fuel and air. Certain portion of the vaporized fuel or fuel droplet would condense on the wall of the intake manifold and intake value, forming the fuel puddle, which has a significant impact on the air to fuel ratio (A/F ratio) of the cylinder. Detrimental A/F ratio excursion could occur during engine transient operations, giving rise to excessive exhaust emissions and extra fuel consumption, as well as the driveability and catalyst efficiency problems. Hence, some advanced control schemes should be applied. The model predictive control methodology is proposed to compensate for A/F ratio excursion during engine transient operations at throttle tip in or tip out. In light of the fact that additional computational complexity involves in nonlinear intelligent control approaches and big approximation error occurs in simple linear approaches, the relatively simple but powerful nonlinear Markov Chain Monte Carlo (MCMC) is introduced to solve this problem. MCMC is a general approach for obtaining random samples at the stationary probability to substitute arbitrary type of the posterior density. The discrete-time Markov chain is introduced whose state reaches the desired distribution after large numbers of iterations. It is combined with Monte Carlo integration to implement numerical integration. Excellent match between the model prediction data and actual experimental data is observed using the MCMC approach with the low computation cost.
Starting Page	1
Ending Page	6
File Size	234360
Page Count	6
File Format	PDF
e-ISBN	9781479911486
DOI	10.1109/LatinCom.2013.6759836
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-24
Publisher Place	Chile
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Monte Carlo methods Computational modeling Markov processes Predictive models Wall Wetting Markov Chain Monte Carlo Fuels Transient analysis Model Predictive Control Engines Transient Fuel Control
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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