-
= Vsumcos(fsum)
+ jVsumsin(fsum)
There is,
of course, also a geometrical interpretation whenever you deal with complex
numbers or variables. If we have two phasors that we are adding, we
visualize the situation as shown below.
Vsum
= V1 + V2
We can
add the two phasors any way possible. That includes doing it
graphically by hand, breaking the phasors into components and
summing the real and imaginary components - as we did above - or any
other way you can imagine to sum two vector-like quantities.
Differentiation of Time Functions Represented by Phasors
A second
operation that we need to perform often is differentiation
of a time function represented by a phasor. Consider a sinusoidal time
function, v(t):
v(t) = Vmax
cos(wt +
f)
with a phasor
V:
V = Vmax/f
The derivative of the time function is given by:
vd(t) =
dv(t)/dt = - wVmax
sin(wt +
f)
The phasor for the derivative signal is:
Vd
= - wVmax/f-90o=
wVmax/f+90o
(Note the minus sign on the first represention
where ninety degrees is subtracted has been eliminated when the angle is changed
to plus ninety degrees!)
We conclude the following.
-
Differentiating a sinusoidal
signal is equivalent to multiplication of the signal's phasor by
w
and rotation of the phasor by 90o.
There is
also an interpretation in terms of complex numbers. Represent the phasor V
in terms of complex numbers:
V = Vcos(f)
+ jVsin(f)
Then, consider the phasor
for the derivative:
Vd
= Vdcos(f)
+ jVdsin(f)
But, we can also write the
phasor for the derivative from the time function for the derivative.
Vd
= wVcos(f+90o)
+ jwVsin(f+90o)
Now, work with this expression.
Vd
= - wVsin(f)
+ jwVcos(f)
and with some insight, we can note that this is
the same as (since j2 = -1):
Vd
= j2 wVsin(f)
+ jwVcos(f)
Vd
= j w(
jVsin(f) +
Vcos(f)) = j
wV
The conclusion:
-
Differentiating a sinusoidal
signal is equivalent to multiplication of the signal's phasor by jw.
There is a little side note here that is important. When you study Laplace
transforms you will find that differentiating a signal - any signal, not just a
sinusoid - is equivalent to multiplication of the signal's Laplace transform by
the Laplace transform variable, s. The similarity is not an accident.
The Laplace transform is a generalization of the Fourier transform, and the
Fourier transform is based on the idea that a signal - almost any signal - can
be represented as a sum of sinusoids. In the case of the Fourier
transform, that sum becomes an integral. When you travel this road, you go
through
Fourier Series, then get to Fourier transforms and finally you get to
Laplace transforms. Not everybody takes all of the steps, and some might
jump directly to Laplace transforms, but viewing the entire path can be
enlightening.
Example
E1
In a capacitor, the voltage and current are related by:
ic(t) = C
dvc(t)/dt
so the voltage phasor,
Vc,
and the current phasor, Ic,
are related by:
Ic
= jwCVc
E2
Imagine that you have two voltage sources in series as shown below.
These two voltages are both
sinusoidal, but at different phases. You can see the voltages in this
simulator.
-
To see the cosine term, type a
"1" in the cosine term text-box and be sure that the cosine term stays zero.
-
To see the sine term, type a
"1" in the sine term text-box, and set the cosine term to 0.
We leave
this as an exercise for the interested student.
A Quick
Summary of What You Need to Know
Phasors are used extensively in AC circuit analysis. Operations you need
to be familiar with include addition
and differentiation
in the time domain, and the corresponding results for the phasors representing
the time domain signals.
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