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Nonlinear dynamic engine modeling an...

Shiao, Yaojung.

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Nonlinear dynamic engine modeling and model-based engine diagnostics.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Nonlinear dynamic engine modeling and model-based engine diagnostics./
Author:	Shiao, Yaojung.
Description:	203 p.
Notes:	Source: Dissertation Abstracts International, Volume: 56-07, Section: B, page: 3876.
Contained By:	Dissertation Abstracts International56-07B.
Subject:	Engineering, Automotive. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9533452

Nonlinear dynamic engine modeling and model-based engine diagnostics.
Shiao, Yaojung.

Nonlinear dynamic engine modeling and model-based engine diagnostics. - 203 p.

Source: Dissertation Abstracts International, Volume: 56-07, Section: B, page: 3876.

Thesis (Ph.D.)--The University of Wisconsin - Madison, 1995.

In the automatic industry, an on-board engine fault diagnostic system is a necessary tool to detect and identify failure in one of the many parts in an engine. Especially, a detection algorithm for engine misfire is required (OBDII) to meet the regulation of exhaust emission control. A model-based misfire detection and identification method offers a reliable way to meet this need.Subjects--Topical Terms:

1018477
Engineering, Automotive.

Nonlinear dynamic engine modeling and model-based engine diagnostics.
LDR:02654nam 2200301 a 45 001 929706
005 20110427
008 110427s1995 eng d
035 $a (UnM)AAI9533452
035 $a AAI9533452
040 $a UnM $c UnM
100 1 $a Shiao, Yaojung. $3 1253192
245 1 0 $a Nonlinear dynamic engine modeling and model-based engine diagnostics.
300 $a 203 p.
500 $a Source: Dissertation Abstracts International, Volume: 56-07, Section: B, page: 3876.
500 $a Supervisor: John J. Moskwa.
502 $a Thesis (Ph.D.)--The University of Wisconsin - Madison, 1995.
520 $a In the automatic industry, an on-board engine fault diagnostic system is a necessary tool to detect and identify failure in one of the many parts in an engine. Especially, a detection algorithm for engine misfire is required (OBDII) to meet the regulation of exhaust emission control. A model-based misfire detection and identification method offers a reliable way to meet this need.
520 $a In this dissertation, a nonlinear engine dynamic model has been developed to predict the dynamic motion of crankshaft. This model, which includes full time-varying engine inertia, is able to predict better than other commonly used control-oriented engine models. It is beneficial to use this full crankshaft model for model-based control and diagnostics.
520 $a On-board model-based detection algorithms for misfire and abnormal combustions have also been developed. Using the nonlinear engine model and sliding observer, cylinder pressure, combustion heat release, and output torque in an SI engine can be estimated. These estimates are then used to detect misfire or abnormal combustion in cylinders. Method of reducing estimation errors due to system unobservability were also discussed.
520 $a A runner-by-runner manifold pressure observer is also developed to estimate individual runner pressure and flow rate. This observer provides good phase-lag-free and noise-free estimation. The runner-by-runner intake manifold model is to develop an algorithm to detect burned inlet valves or other faults, which is a major cause of engine misfire. An algorithm of cylinder-by-cylinder air-fuel control based on this manifold model has also been developed. On-board cylinder-by-cylinder emission control and diagnostics will be achieved by the aforementioned models and algorithms.
590 $a School code: 0262.
650 4 $a Engineering, Automotive. $3 1018477
650 4 $a Engineering, Mechanical. $3 783786
690 $a 0540
690 $a 0548
710 2 0 $a The University of Wisconsin - Madison. $3 626640
773 0 $t Dissertation Abstracts International $g 56-07B.
790 $a 0262
790 1 0 $a Moskwa, John J., $e advisor
791 $a Ph.D.
792 $a 1995
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9533452