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Automotive engine model linearization.

Lee, Kinping.

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Automotive engine model linearization.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Automotive engine model linearization./
Author:	Lee, Kinping.
Description:	138 p.
Notes:	Adviser: Henryk Flashner.
Contained By:	Masters Abstracts International34-02.
Subject:	Engineering, Automotive. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1376476

Automotive engine model linearization.
Lee, Kinping.

Automotive engine model linearization. - 138 p.

Adviser: Henryk Flashner.

Thesis (M.S.)--University of Southern California, 1995.

A model of an automotive engine system is built through the study of the physical processes involved in the operation of the engine. This engine model aims to reconstruct the characteristics of engine speed by changing the throttle angle. The engine system is divided into subsystems and is modeled by mathematical equations representing the operation of the subsystem. The construction and simulation of this nonlinear engine model are done on MATLAB SIMULINK.Subjects--Topical Terms:

1018477
Engineering, Automotive.

Automotive engine model linearization.
LDR:02186nam 2200289 a 45 001 929669
005 20110427
008 110427s1995 eng d
035 $a (UnM)AAI1376476
035 $a AAI1376476
040 $a UnM $c UnM
100 1 $a Lee, Kinping. $3 1253156
245 1 0 $a Automotive engine model linearization.
300 $a 138 p.
500 $a Adviser: Henryk Flashner.
500 $a Source: Masters Abstracts International, Volume: 34-02, page: 0857.
502 $a Thesis (M.S.)--University of Southern California, 1995.
520 $a A model of an automotive engine system is built through the study of the physical processes involved in the operation of the engine. This engine model aims to reconstruct the characteristics of engine speed by changing the throttle angle. The engine system is divided into subsystems and is modeled by mathematical equations representing the operation of the subsystem. The construction and simulation of this nonlinear engine model are done on MATLAB SIMULINK.
520 $a The speed characteristics of the engine are then estimated by three simple linear models: a first order model, a second order model and a second order model with transport delay. The parameters of the linear models are obtained through the frequency response analysis of the nonlinear engine model. By comparing the simulation result of the linear models with that of the nonlinear model, the second order model with transport delay is found to be the best estimation of the nonlinear engine model.
520 $a Either a Proportional-plus-Integral (PI) or a Proportional-plus-Integral-plus-Derivative (PID) controller is designed for each of the three linear models. The controllers are then used in the nonlinear engine model. The simulation result of the controlled systems shows that the second order model with transport delay describes the actual response of the controlled nonlinear engine model best.
590 $a School code: 0208.
650 4 $a Engineering, Automotive. $3 1018477
650 4 $a Engineering, Mechanical. $3 783786
690 $a 0540
690 $a 0548
710 2 0 $a University of Southern California. $3 700129
773 0 $t Masters Abstracts International $g 34-02.
790 $a 0208
790 1 0 $a Flashner, Henryk, $e advisor
791 $a M.S.
792 $a 1995
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1376476