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CATEGORIES:CUED Control Group Seminars
SUMMARY:Multi Physics Modelling for Automotive Control Dev
elopment - Akira Ohata\, Toyota Motor Corporation
DTSTART;TZID=Europe/London:20140210T140000
DTEND;TZID=Europe/London:20140210T150000
UID:TALK50484AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/50484
DESCRIPTION:Plant modeling is one of the most important techni
cal areas for control system developments. To esta
blish a desired plant modeling environment\, vario
us technologies are necessary\, such as system ide
ntification\, physical modeling\, model simplifica
tion\, boundary modeling\, optimization\, function
approximation\, design of experiments\, model exe
cution including DAE (Differential Algebraic Equat
ion) solver\, physical law library. Unfortunately\
, each technology is almost isolated and the integ
rated modeling environment shared among researcher
s and engineers has not been well established.\n\n
In the automotive industry\, static experimental m
odels have been introduced with Design of Experime
nts (DoE) for nonlinear systems to mitigate the ti
me consuming issue rapidly progressing in the engi
ne control calibration area. According to the succ
ess of the remarkable reduction of calibration tim
e\, the automotive industry has studied to apply d
ynamic models to the calibration process. However\
, it is not easy to identify the adequate equation
s of dynamical model even for only the calibration
of a small control component. The difficulty can
result from the facts that multiphysics modeling a
nd the systematic method integrating physical and
experimental models have not been well established
.\n\nAlmost all researchers admit that combining p
hysical and experimental models is a practical way
. However\, it seems that there is no systematic w
ay to develop such a model. There are two approach
es to obtain the target plant model which has the
minimum order and the minimum parameters\, basical
ly. One is the gray box approach that combines exp
erimental models to a physical model. It should be
formalized to guarantee to reduce the dependency
of model quality on the model developer. The other
is the way to put “physical structure”\, which me
ans relationships between model coefficients\, to
a pure experimental model\, such as Taylor series
and the linear combination of basis function. “Phy
sical structure” can be preliminary knowledge in o
ther words and applied to model parameters optimiz
ation.\n\nBond-Graph is the popular multiphysics m
odeling based on the description of the energy con
servation law. However\, it deals with only two ki
nds of the variables of which the multiplication f
orms the energy flow. However\, on the compressibl
e fluid domain\, three variables such as pressure\
, density and velocity are necessary to calculate
an energy flow. Thus\, Bond-Graph should be extend
ed. In this lecture\, a novel multiphysics modelin
g based on the considered conservation laws is int
roduced.
LOCATION:Cambridge University Engineering Department\, LR3
CONTACT:Tim Hughes
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