APPM 2360 - Lab 3
The Pendulum
Lab Goals and Instructions
In this lab we will investigate the motion
of a pendulum.
We will consider damped and undamped, linear and non-linear models; in
particular, the similarities and differences between them. We
will
also be introduced to the notion of solutions in phase space.
These
solutions will be interpreted and related to their physical
properties.
There are topics at the end of the lab which need to be addressed in
the
lab write-up.
Follow these guidelines (points may be
deducted for non-compliance):
- three
(3) students is the maximum group size
- use a
cover page
- for each
student in the group, on the cover page, list the
- name
- recitation
number
- I.D.
number (last 4 digits)
- TA name
- Instructor's
name
- submit
the report in class; do not put the reports in mailboxes or they
will be returned
- see here
the lab report guidelines
- make
sure to include in the appendix all steps of a derivation. Even when
the desired result or equation is given you must
show all necessary steps to obtain it.
- four
decimal place accuracy will suffice for this lab; for example, e
is approximately 2.7183
Each group is required to turn in one lab report in class on
Thursday, 3 December, 2009.
Late labs will NOT be accepted
under any circumstances.
Model
We wish to study the motion of an ideal pendulum. The
derivation
of the equations of motion is given here:
Note that there are two cases being
considered in this model.
1. The pendulum hangs from a nail and can
swing all the way around;
in a complete circle.
2. The pendulum hangs from a ceiling; the swinging is restricted, i.e.
the pendulum can't swing up through the ceiling!
Read through the derivation to get an idea
of the model. Your report should give a
description of the
physical configuration, defining
the important terms; however, you do not need to give details of the
derivation of equation (1). An appropriate place for this
description
is in the introduction.
We will be
working with the following equation (stated in the derivation):

Now let u
= θ
giving us the following system:


When answering the questions, do not
assign values to the model parameters except when plotting.
For generating the plots, let L
= 1, m
= 0.5, g
=
9.8, and b =
0 (unless noted otherwise as, for example, in questions 6 and 12). All
units in
S.I.
Note the notation

The first step in understanding this model
is to consider the phase-plane
portrait for (2); the set of variables (u,
v) is called the phase
plane. If b = 0,
the vector field is a plot of u'
versus u
(or v
versus u
in the notation of (2)), namely (v,-(g/l)sin
u).
We can create phase-plane portraits using
the Mathematics Visualization Tool (MVT) or by using Mathematica,
Matlab,
or Maple. You might also consider using "pplane7.m" for Matlab that can
be found online. The input will look similar to (2). The slope
field is a plot of
vectors that determines the path of the curves. Take -4π
< u
< 4π,
and -10 < v
< 10 which offers
a good start for viewing the vector field and phase
portraits. These
inequalities can be tweaked once we gain a better understanding of the
plots.
Linearized Model
Although we can extract a fair amount of
information from the equation using phase planes (1),
the sine term still makes the equation a little unwieldy. In
general,
non-linear equations yield little useful analytic information without a
sizable amount of effort. For this reason, we want to find a
linear
equation which approximates equation (1).
Using Taylor's theorem, we can rewrite the
sine term in equation (1)
as a series expanded about the lower equilibrium point.
Recall Taylor's theorem, in this case, states that

We can then obtain an approximation to
equation (1), under certain conditions
to be determined later, by truncating this series.
Questions
and
Issues to Address:
- Classify
(1) (e.g. linear? homogeneous? order? autonomous?) and interpret each
term of the model
- From the physical configuration, θ
= θ0
is the same point as θ
=
-θ0.
Why? The previous statement is not valid for v
= dθ/dt,
why not?
- Produce
a phase portrait for (2). Overlay some solution curves onto
this
vector field.
- Find the
equilibria of (2) analytically (by hand) and identify (draw) them on
the phase portrait. Where do these equilibria occur
physically? Make sure this explanation is in layman's terms.
- On the
phase portrait, identify the distinct types of trajectories and
interpret these different behaviors in terms of the physical motion of
the pendulum. Take care to consider those that, while
technically
possible, are unlikely to be observed physically.
- Notice
that the notion of time is absent
in the phase-plane portrait.
However, while there are some trajectories that can take only a short
time,
there are others that can take infinite time! For example, it
can
be shown (although not easily...you do not need to verify this fact)
that,
in the undamped (b=0) case of the pendulum nailed to the wall, equation
(1) is satisfied
by:
Create a plot of this solution and describe the motion of this
trajectory.
(Think about the behavior of this curve as time is extended
from -∞
to +∞?
The curve
has two asymptotes: θ
= π
and θ
= -π.
What do they indicate?
Note where these points are located on your phase portrait!)
- Include
the following derivation of the energy formula in the body of your
lab; other calculations are to be included in an appendix.
Now that
we have some idea of how our model behaves, we will do some analysis to
verify the geometric (qualitative) results. Write the model
as
Multiply this equation by the
velocity dθ/dt
and notice that both terms can be rewritten as expressions like a total
derivative. By integrating the (total) derivatives, obtain
the result
where c
is some constant. Show that, by an appropriate choice
of the constant of integration c,
we may rewrite this result as:
where C2
is a new constant. (Note: The first
term in this equation is an expression for the kinetic energy of the
pendulum.
The second term is an expression for the potential energy of the
pendulum.
Hence (3) is the "total energy" of the pendulum.)
- Equation (3) makes a statement about the
total energy of the system.
What is that statement? (hint: Set θ
= π)
- Write
the Taylor series expansion for the sine term in equation
(1).
Approximate equation (1) by truncating the series after the first term
to obtain a very simple approximation. Under what conditions
should this simplified equation give a good approximation
to equation (1)?
-
Solve this new equation, by hand,
with the
initial conditions

Put the steps of the
derivation in the appendix, but include the solution in your report.
- Create a phase portrait of the linear
equation that you derived in number
10. What are the similarities and differences between the
phase portrait in
number 4 and the phase portrait for equation (1)?
- For all of the plots, we have been
considering the somewhat
unrealistic situation where there
is no damping on the pendulum's movement. In other words, we
set b
= 0. Now, produce a
phase-plane portrait as well as solution curves
for the damped (non-linear) pendulum with b
= 0.7 and b
= 1.2.
Do not overlay these plots. Describe the results of each case.
- Briefly comment on the similarities and
differences between the damped
non-linear case and the undamped non-linear case. You might want to
consider how the physical system and the phase portraits are related.
- What are the shortcomings of the
model? In what ways can the model
be improved?
- We will now walk through the steps required
to solve the nonlinear model. Refer back to step 7, where we had, after
shuffling constants:
Multiply through by dθ/dt
and integrate with respect to t,
arriving at:
How would you solve for the constant? Why do
you need more than just θ(0)
to obtain a value for the constant?
TYPO:
The above equation has a simple typo. The plus sign before the g/L
should be a minus sign!
- Suppose that you have solved for the
constant, using the method that you just described, and that its value
is α.
Using this notation, separation of variables, and the equation above,
show that the solution is:
Interesting links
Mathematical
Visualization Toolkit.
This link is where you can find all the
necessary mathematical tools needed for this lab.
This
lab was created by Matt Tearle in February 1999. It was
updated by Keith Wojciechowski in October 2001, and again by Dan
Larremore in February, 2008, but most recently by Lenton McLendon on
October 28, 2009 (Happy Birthday Mr. McLendon!)