BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Multi Physics Modelling for Automotive Control Development - Akira
  Ohata\, Toyota Motor Corporation
DTSTART:20140210T140000Z
DTEND:20140210T150000Z
UID:TALK50484@talks.cam.ac.uk
CONTACT:Tim Hughes
DESCRIPTION:Plant modeling is one of the most important technical areas fo
 r control system developments. To establish a desired plant modeling envir
 onment\, various technologies are necessary\, such as system identificatio
 n\, physical modeling\, model simplification\, boundary modeling\, optimiz
 ation\, function approximation\, design of experiments\, model execution i
 ncluding DAE (Differential Algebraic Equation) solver\, physical law libra
 ry. Unfortunately\, each technology is almost isolated and the integrated 
 modeling environment shared among researchers and engineers has not been w
 ell established.\n\nIn the automotive industry\, static experimental model
 s have been introduced with Design of Experiments (DoE) for nonlinear syst
 ems to mitigate the time consuming issue rapidly progressing in the engine
  control calibration area. According to the success of the remarkable redu
 ction of calibration time\, the automotive industry has studied to apply d
 ynamic models to the calibration process. However\, it is not easy to iden
 tify the adequate equations of dynamical model even for only the calibrati
 on of a small control component. The difficulty can result from the facts 
 that multiphysics modeling and the systematic method integrating physical 
 and experimental models have not been well established.\n\nAlmost all rese
 archers admit that combining physical and experimental models is a practic
 al way. However\, it seems that there is no systematic way to develop such
  a model. There are two approaches to obtain the target plant model which 
 has the minimum order and the minimum parameters\, basically. One is the g
 ray box approach that combines experimental models to a physical model. It
  should be formalized to guarantee to reduce the dependency of model quali
 ty on the model developer. The other is the way to put “physical structu
 re”\, which means relationships between model coefficients\, to a pure e
 xperimental model\, such as Taylor series and the linear combination of ba
 sis function. “Physical structure” can be preliminary knowledge in oth
 er words and applied to model parameters optimization.\n\nBond-Graph is th
 e popular multiphysics modeling based on the description of the energy con
 servation law. However\, it deals with only two kinds of the variables of 
 which the multiplication forms the energy flow. However\, on the compressi
 ble fluid domain\, three variables such as pressure\, density and velocity
  are necessary to calculate an energy flow. Thus\, Bond-Graph should be ex
 tended. In this lecture\, a novel multiphysics modeling based on the consi
 dered conservation laws is introduced.
LOCATION:Cambridge University Engineering Department\, LR3
END:VEVENT
END:VCALENDAR