1/46
Looks like no tags are added yet.
Name | Mastery | Learn | Test | Matching | Spaced | Call with Kai |
|---|
No analytics yet
Send a link to your students to track their progress
characteristic roots (poles)
values of p
can solve using quadratic formula or by factoring into parts
the poles correspond to two distinct solutions to the ODE
the damping ratio is equal to 1 when there are 2 distinct poles (T/F)
false: it is not equal to one
the damping ratio is equal to 1 when there are two similar poles
plotting poles
poles can be represented as vectors and put on a graph
ex) 𝑥1,2 = 𝑎 ± 𝑏𝑗 ⟹ 𝑥1 = 𝑎 + 𝑏𝑗, 𝑥2 = 𝑎 − 𝑏𝑗
can be represented as (a, b) and (a, -b) and then plotted
they are plotted on a real (x-axis) and imaginary (y-axis) plane
what is the damping ratio
a measure of how quickly a solution decays (damped out)
what happens to oscillations when 𝜁 = 0
oscillations do not decay
what happens to oscillations when they have a low 𝜁 < 1
oscillations decay slowly
what happens to oscillations when they have a high 𝜁 < 1
oscillations decay quickly
what happens to oscillations when 𝜁 ≥ 1
what is undamped natural frequency
a measure of the speed of a system’s response
what does a small natural frequency mean for oscillations
slow oscillations
slow decay
what does a large natural frequency mean for oscillations
fast oscillations
fast decay
what is damped natural frequency
frequency of oscillations for an underdamped system
free response
when input = 0
f(t) = 0
forced response
response resulting from an external force f(t)
what is the stability when the response decays to zero
stable/critically damped
happens when all of the terms in y(t) contain ept where p has a negative real part
what is the stability if the response diverges to infinity
unstable
happens if any of the terms in y(t) contain ept where p has a negative real part
what is the stability if the response diverges to neither infinity or nor zero
neutrally stable/critically unstable
y(t) oscillates forever because there are no exponential terms
what happens with stability if there are repeated sets of purely imaginary poles
marginal stability
increasing amplitude of oscillations with time
what is the system response for a pole located to the right of the origin
exponential increase
what is the system response for a pole located to the left of the origin
exponential decrease
what is the system response for a pole located further from the real axis
more oscillatory
what is the system response for a pole located further from the origin
faster response
what is the system response for a pole located closer to the origin
slower response
time constant
1/real part of pole
a system with multiple poles can have multiple time constants if they have different real parts
represents time for system to exhibit 63% of total change
dominant root/pole
for systems that have more and one time constant, the dominant root is the one that exhibits the slowest response
larger time constant = slower response
logarithmic decrement
natural log of the ratio of the amplitudes of any peaks in an underdamped response
represents the rate at which the amplitude of oscillation decreases
laplace transform
allows us to convert differential equations into algebraic equations to solve them more easily
step/impulse responses
represent how systems react to sudden changes