41
,
III
3.
Integration
or
the
Simplified
Equation
or
Motion
:Ci
(V
+
1)
~
Xi(V)
+ F['Pi(V),
'Pi(V
- 1),
...
] ,
(3.27)
w!ln"!! F is a linear combination
of
the
functions
'Pi
at
previous intervals.
'I '
It
ere exists a large
number
of
integration
formulae which differ
in
complex-
il
,y, i.e.
computing
time, sensitivity to numerical
instability
and
accuracy [22].
'l'
lte
ones
best
known
are
square-, trapezoidal-
and
Simpsons-rules, further-
IIl<lr
e
the
Newton-
and
Runge-Kutta-algorithms.
Because
of
its favourable
propertí
es
the
last mentioned
algorithm
is widely usedj
it
is usually avail-
:th\e as a complete
subroutine
so
that
only
the
functions
'Pi
and
the
initial
CO
llditions
Xi(O)
need
to
be inserted as well as
the
integration
interval
Llt
;\,
11<1
the
time
t
2
at
which
the
integration
is
to
be
terminated.
Often
the
in-
Lq
,;ration interval Llt is chosen automatically, depending
on
the
functions
(Pi a
nd
a specified accuracy limito We
are
not
going
to
discuss details of
IIll1nerical integrationj
there
can
be
subtle
problems
interrelating
step
size,
<t.c
cnracy
and
numerical stability. Since a large
number
of
steps
may
have
Lo
he
computed
sequentially, even
minute
systematic
errors
can
accumulate
IIl1d
er unfavourable conditions.
Obvíously
the
two differential equations, Eqs. (2.1), (2.2), correspond
to
I.his
general schemej when
taking
the
angle
of
rotation
into account,
the
order is n =
2,
i.
e.
a very small system
of
differential equations results.
The
,~
Lat
e
v
ar
iables
are
the
rotational
01' linear speed
and
the
angle
of
rotation
or
I.Iw
liJl
ea
r distance.
These
variables represent
storage
effects and, hence,
are
C()lItiJlllOUS.
If
a more
accurate
description is desired,
the
electrical
transients
!Iav
(! to
be
included,
thus
increasing the
number
of
differential
equations
and
sl"d,
(!
variablesj this is discussed in
later
sections.
Wlwll a
tímetable
for a
branch
of
a railway is
to
be computed,
it
is neces-
l:a
l'y 1,0
take
into account
the
mass M
of
the
trains
, including
the
equivalent
ill('rlú
01'
the
wheel sets,
the
speed-dependent
driving forces
of
the
loco-
II
II,
Li
v(!s,
dista
nce-dependent
conditions, such as grades, curves
or
speed re-
Il
l.ricl.io!l
s, as well as
maximum
values for deceleration.
The
task
requires
the
:;i
111111
tancous solutíon
of
the
differential equations for velo city
and
distance
dv
1
-1
--
= M
[JM(V,
t) -
h(s,
v, t)] ,
( t
ds
dt =
V,
wll(!l'('
1M
is
the
internal
driving force of
the
locomotive
and
h is
the
to-
tal
loar!
force, íncluding frictional
and
braking
forces
a.s
well as
gravitational
l'ol'('
cs
Oll
grades.
The
task
of
finding an acceptaiJl('
tillldable
is
an
optimisa-
I,
i(lll
prohlc
lJI
of
cO
Ilside
rable
complexity, sinc(' lIlally cOllstraiJlts
and
bound-
:
lr
,Y
cOlldi(
,
ioIl
S
llIu
st
h(
! tõlken into
aCCOllnl..
'l'llú; indlld,':;
Lhe
Il
S(!
of
th
e
same
Lr:lt'k
I,y
I.r:tills Itavillg diffcrcllt I\.('cdcra(.ioll
:1
,
lId
vl'lociLy
lilllÍts, such
a.'i
in-
L('IT
,
iLy
<lI'
II(
!il
VY
I
~
o()d
:;
(,
nlÍIIH
.
Th
e
pro!'I"11I
(
'!l
1I
lillly
IIl'
Holv"d
I,
y itmatioll,
...
·p(
·
II.1.(
·
(lIy
iIlL(
·I'
,I'II
,l.illl',I':qH. (2
.1)
,
('
.l.'2
)
wi1.1t
dl
ll'(
'I'I·lIl. llIl
l.i
lll (·
(lIldil.i(lII
K. 'J'oday
1.1
11
11
1:
1II
t.
,y
piC'
l\.
1
1'1,,1,),
'
111
r"
"
11I111I(
'rk
ld 1
III."
I'
,
I'
/
tI
,ll lI' w
ll
,
1t
I
I,
dil',
d,1I1
(IIHlplll,(·
r.
IIl1
wl'v
\'I . I
II
1.11
,'
1"
1'11
,
11
, I
lI
ld
1.11
I"
,
~iI
,lv,·
,
d
Cl
ll
llil
l/
tll
y
lI
i.
I"I',
1·
.!"I
.1.1<
ItI
1111'111,,,11:.
3.3 Numerical
and
Graphical
Integration
Since
it
cannot
be ruled
out
that,
even today,
this
may have
to
be
done
occasionally, let us briefly consider
the
principIe
of
graphical
integration,
using a simple example. Eq. (3.1), where mM(w)
and
mdw)
are
given as
empirical curves,
Fig
.3.13,
dw
J
di
=
mM(w)
-
mdw)
=
ma(w);
(3.28)
the
equation
is first normalised
with
the
help
of
arbitrary
values
WI,
mI,
J
WI
~
(~)
_
mM
_ mL _
ma
(3
.29)
mI
dt
WI
-
mI mI
-
mI
'
where
ma/mI
corresponds to
the
normalised accelerating torque.
cu
mL
/
/
/
/
/
m
Fig.
3.13.
Torque/speed
curves
or
motor
and
load
With
the
abbreviations
JWI
=
TI,
t
ma
-T=r
W =
X,
mI
mI
=y
1 '
WI
a nondimensional
equation
results
dx
dr
=y(x).
(3.30)
Normalisation
avoids
the
awkward choice
of
scale factors;
the
reference values
WI,
mI
are
of
no significance, even
though
it
is recommendable
to
choose
characteristic
values such as
nominal
speed
and
torque
in
order
to
work with
handy
numbers
.
ln
Fig. 3.14
the
normalised curve
y(x),
obtained
from Fig. 3.13 is shown,
with
t.lt
p
lI
ol:llIn
lif
;cd speed
plotted
against Ilormalised torque.
The
x- axis
is
sllbdividcd
illl.o
scv(
~
r;tl
illt(!l'vals,
JlOt,
!)(!cPHsarily
of
c<.J.
l1al
lcn
gt
h; it is in fact
:l.pPl'Opri:i.I
,,'
1.0
/'C'dll('"
1,
111'
1(
!
lIgLhH
01'
1.
I
li'
illkrv:d:;
iII
/;
cdiolJS wheJ'c
y(:,
:) iH
('Ia
ii
"1',1
" I',
I'
lI.
lIidl
y,
111":,,1'11
illl.(·rV:I
,1 y
i:
: ' i.J'I"'
II
'
"II
:
tf
,
(·cJ
h,Y
II,
(·IIII
I<II.
il.III.
,
vl
!i
ll
a
lly