Understanding Closed-Loop Multivariable Transfer Function Identification

PiControl SolutionsSoftware and s/w Development

Oct 28, 2020 (29 days and 22 hours ago)

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Want to know more about closed-loop multivariable identification? Explore the website https://www.picontrolsolutions.com/products/columbo/ of Pi Control Solutions to see what we can do for you. We extend our services to different varieties of industries. If you want to collaborate with us, feel free to get connected to our team.

Understanding
Closed
-
Loop Multivariable
Transfer Function

Identification

Model
Predictive Control
(MPC)
technology
is
widely
and commonly
used
in
refinery,
petrochemical,
and
manufacturing plants.
As
a
matter
of
fact, MPC
has
drawn
interest
from
several other industries
as

well.

Dynamic models
play a
vital
role
in
Model Predictive Technology (MPC).
The models
are
used
as MPC
controllers.
One of
the
most important
things
about
MPC
is;
closed
-
loop multivariable identification. Modeling
&
identification
is
an
important
part
of MPC

technology.

What is
closed
-
loop

identification?

Closed
-
loop identification
is
defined
by
the
process
that’s
identified
using
data
collected
from
closed
-
loop tests.
Here,
the underlying
process
remains
fully
or
partly
under feedback
control.
The closed
-
loop identification
can be
seen
from both
the
operational point of
view
and
the control theoretical
point of

view.

Model Predictive Control (MPC) application
is
very
challenging
and
beneficial
at
the same

time.

Depending
on
the
class of
the
process,
closed
-
loop identification
processes can be
characterized
as

follows
-



Large scale and

complex


Slow
&
high
-
level

disturbances


Slow
dominant
dynamics


Local

non
-
linearity

Why
identification
is
an
important
part
of
MPC

technology?

A good
identification test
plays a crucial role
in
the
successful
identification
of
the
MPC
process. Now, industries
that
rely
on MPC
applications
use a
series
of open
-

loop
and
single
-
variable step tests.
Usually,
the tests
are
executed

manually.

Because
this test method offers several benefits, this
test
method
is
practiced
in
several industries. Although there
are
certain problems
involved
in
the
test
processes,
the problems
can be
solved
easily by
using
automatic
multivariable
tests.

The advantages
of
closed
-
loop
test
conduction

are
-


It
plays a great
part
in
reducing
the disturbance while
processing operation
and
eliminating
product

off
-
specification.


It
allows
the
operators
to
carry out
the identification
test task
easily
and
efficiently.


A
closed
-
loop test lessens
the
numbers of

errors.

One important
thing about closed
-
loop identification you
should know about
is
the
choice
of
the
model structure.
It
depends
on
three conflict issues. The issues

are
-



The consistency
of
the

model


The
compactness
level
of
the

model


The numerical complexity
of
the
model
(in
parameter

estimation)

Want
to
know
more
about
closed
-
loop multivariable identification? Explore the
website
https://www.picontrolsolutions.com/products/columbo/

of Pi
Control
Solutions to
see
what
we
can
do
for
you.
We
extend
our
services to
different
varieties
of
industries. If you
want
to
collaborate
with
us,
feel free to
get
connected
to
our

team.