|
| energy domain, |
| | electrical | | power variables: electrical
voltage, electrical current |
| |
magnetic | | power variables: magnetic voltage,
rate of magnetic flux |
| |
thermal | | power variables: temperature,
entropy flow |
| |
fluid | | power variables: pressure, volume
flow |
| |
acoustic | | power variables: pressure, volume
flow |
| |
translational | | power variables: velocity,
force |
| |
rotational | | power variables: angular
velocity, torque |
|
| energy |
| |
entries | | regions in the module boundary
surface to which the energy interactions of the
module are assumed to be constrained; the interactions
through the remainder of the boundary are neglected |
| |
interactions | | of a system module correspond
to the energy flow (power intake) through the
individual energy entries in the
module boundary |
|
| experiment, |
| |
real | | process of observing and measuring the
energy interactions of a dynamic system while it
is exerted to certain conditions and excitations |
| |
simulation | | process of observing the
energy interactions of a dynamic system model by
simulation using a system model exerted to
certain conditions and excitations |
|
| level of modeling |
| |
abstraction | | selection of model attributes (e.g.
conceptual, functional, physical or technological) |
| |
idealization | | chosen interrelation of model
variables (e.g. linear or nonlinear, time-invariant or time variable, lumped- or distributed-parameter,
etc.) |
| |
granularity | | chosen zooming in system
modularization (e.g., devices from which the dynamic system is actually assembled, parts or aggregates
of such devices, or just some dynamic effects) |
| |
| mechatronics | | approach to
the of intelligent dynamic systems integrated across engineering disciplines |
| |
| modeling | | transition from a dynamic system to a
model description of a certain level of modeling
abstraction, idealization and granularity |
| |
interval | | interval of time, of ambient
parameters and of system variables as well as of
their time rates determined by model validation |
|
| model, |
| |
conceptual | | characterizes causes-and-effects in a
dynamic system or system module respecting algebraic rules |
| |
functional | | characterizes interrelations of
variables a dynamic system or system module
respecting algebraic rules |
| |
physical | | characterizes continuous-time
continuous-level energetic interactions of system
modules respecting physical laws |
| |
technological | | model of a technological process
required to produce a dynamic system |
| | multilevel | | model the parts of which are
considered on a different level of modeling
abstraction |
| |
multidomain | | physical model the parts of
which belong to different energy domains |
| |
discrete | | functional model the model
variables of which are approximated by discrete-time
and/or discrete-level functions |
| |
hybrid | | discrete model combined with
a physical model or a continuous-time
continuous-level functional model |
|
| model |
| |
representation | | geometric (showing geometric dimensions and
positions), structural (displaying the topology of internal structure) or
behavioral (concerned only about the outer effects) |
| |
description | | equations, block diagram, bond
graph, multipole diagram, etc. |
| |
identification | | process of determination of
model parameters based on physical hypotheses
and/or experiments |
| |
validation | | process of relating the system
model or module model to a class of experiments
to be performed on a dynamic system |
| |
variables | | characterize the current dynamic state
of a model |
| |
parameters | | characterize a model regardless of
its current dynamic state |
|
| module |
| |
boundary | | geometric surface chosen in such a way
that it completely encircles a system module without
cutting into the boundary of any other module.
The boundary itself has zero thickness, but it can be
movable |
| |
model | | abstract and idealized representation of
a system module in the form of a model
description related to a class of experiments |
| |
| multipole | | module model of energy
interactions of a system module governed by
the three multipole postulates |
| |
pole | | representation of a scalar energy
interaction of an energy entry of a
system module |
| |
section | | subset of multipole poles respecting
the multipole postulate of continuity |
|
| multipole postulate of |
| |
power intake | | states that the energy
interactions of a multipole are fully represented
by its pole-across and pole-through variables |
| |
continuity | | states that the sum of all the
pole-through variables of a multipole section
equals to zero |
| |
compatibility | | states that across variable
between poles in a multipole section equals to
the difference of pole-across variables of the
poles |
|
| prototype, |
| |
real | | dynamic system built to verify
correctness of a system design by experiments |
| |
virtual | | system model set up to verify
correctness of a system design by
simulation experiments |
|
| reference, |
| |
across-variable | | voltage of the electrical
ground, temperature at the zero point on the absolute
or Celsius' scale, pressure of free-space atmosphere,
velocity of the absolute frame, etc. |
|
| system, |
| |
dynamic | | region in space filled with quantities
of matter interrelated by energy interactions |
| |
mechanical | | collection of bodies in which some
or all of the bodies can move relative to one another |
| |
mechatronic | | multidisciplinary system with
intelligent control |
| |
multidisciplinary | | dynamic system
the investigation of which requires experts from
different traditional engineering disciplines |
|
| system |
| |
analysis | | a subset of system simulation
related to an analysis mode |
| |
design | | process of determining the structure and
parameters of a dynamic system respecting specified
criteria |
| |
synthesis | | systematic and unambiguous
system design procedure |
| |
optimization | | process of modification of
system model parameters to achieve specified
criteria |
| |
diagnostics | | investigation of the cause of a
(possible) dynamic system failure |
| |
surroundings | | mass or region outside a
dynamic system |
| |
model | | abstract and idealized representation of
a dynamic system in the form of a
model description related to a class of
experiments |
| |
module | | part of a dynamic system separated
from the remainder of the system by a
module boundary |
| |
modularization | | process of imaginary decomposition
of a real dynamic system into real
system modules |
|
| variables, |
| |
power | | pairs of physical quantities in
an energy domain - an across and a through
variable - the products of which approximate the bulk
values of energy interactions of a system module |
| |
across | | power variables which can be
measured between distant energy entries without any
severing entry into the dynamic system |
| |
through | | power variables which are measured
at one energy entry only, but to measure such a
variable directly one must severe the dynamic system
at that entry and insert a measuring instrument between
the entry and the remainder of the system |
| |
pole-across | | across variables of individual
poles of a multipole with respect to
an across-variable reference |
| |
pole-through | | through variables of individual
poles of a multipole |
