Transfer functions - Complex poles

In summary, when a system is modeled by a transfer function in the Laplace domain with no zeros and a complex conjugate pair for the poles, applying a unit step function as an input will result in an oscillatory response. The complex poles indicate that there will be an oscillation, and the location of the poles in the complex plane determines the frequency and decay rate of the oscillation. This can be explained in terms of the Laplace Transform and the inverse Laplace Transform, where the resulting time domain response will have a decaying sinusoidal component. The optimal response is achieved when the dominant poles are located at 45 degrees to the real axis.
  • #1
Dirac8767
11
0
Hi,

i'm having a bit of trouble understanding how a system modeled by a transfer function in the laplace domain with no zero's and a complex conjugate pair for the poles causes an oscillation when the unit step function is applied. Any help would be appreciated

Many thanks.
 
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  • #2
The complex pair does not "cause" the oscillation.
They indicate there will be one.

Think of the complex plane this way.
A pole located along the x-axis is showing the speed of an exponential response to a disturbance input. The farther to the left, the larger the negative number, the faster the exponential decays. If you were in the right half of the plane, for positive values of x, the exponential would grow, not decay and you have instability. This is why the left hand plane is the stable region.

Now poles off the x-axis appear in pairs. If the pair is right on the y axis, that corresponds to a pure oscillation which never stops. No dissipation to drain the energy. It is a pure oscillator. The higher up the axis, the faster the oscillation.

If the poles move off the axis into the left half plane, say at (-1, 1) and (-1,-1), you now have a combination [by multiplication] of the oscillation and the exponential decay. It is a damped harmonic oscillator.

So the following points correspond to exponentially decaying oscillations which are ...
(-0.1, 0.1) and (-0.1,-0.1) very low freq, very slowly decaying
(-0.1, 1000) and (-0.1,-1000) very high freq, very slowly decaying
(-1000, 0.1) and (-1000,-0.1) very low freq, very fast decaying
(-1000, 1000) and (-1000,-1000) very high freq, very fast decaying

The X axis value indicates the exponential rate [negative is decay, positive is growth => instability]
The Y axis value indicates the oscillatory rate

Hope that helps
 
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  • #3
Yeh that is helpful thanks, i was wondering if anyone could explain it in terms of Laplace domain equations and time responses etc as that is what I am struggling with.

many thanks
 
  • #4
Laplace domain equations ??
Do you mean the Laplace Transform Integral ?
 
  • #5
Sorry i didnt explain myself very well, say you have a system whos transfer function is;

H(s)= [itex]\frac{5}{s^2 + 4S + 5}[/itex]

When the input is a step response, the output will be a decaying sinusoid before it reaches a steady state, I would like some help in understanding how you get to a time domain response h(t) which has a sinusoid in it.
 
  • #6
You mean the input is a "step function"
The output resulting from the input step function is the "step response"

To get the output Laplace transform, you multiply the Laplace Transforms of the input step function and the system's impulse response. The output time domain function is then given by the Inverse Laplace Transform of this multiplication of transforms.

Note the Laplace Transform of a system's time domain Impulse Response is the system Laplace Transform

Anytime the poles are off the X axis of the Complex Plane, there will be oscillatory behavior. In fact for the most part, only single pole systems have no oscillatory behavior. This is because all you need is 2 energy storage components in a system to get oscillation. Any two pieces of metal [in an electronic system] constitute a capacitor and thus a storage device.

The optimum response is when the dominant poles [those closest to the origin] are at 45 degrees to the X [real] axis. This gives the fastest response to a step function input while also resulting in minimum overshoot.
 
  • #7
Sorry for my mix up with terminology,

yeh i understand the process of doing it but i don't know how i would do it in this scenario given that the poles are complex and I am looking for a sine or cos in the time domain response. Many thanks.
 
  • #8
OK
You say you know the response will be a decaying [exponentially] sinusoid.
That's right for most systems with more than one pole, which is practically all systems.
So how does a sinusoid appear in the result ?

Both Laplace and Inverse Laplace Transform formulas are Integrations.
And both involve "e" to some power of either "s" [the complex frequency] or "t" [time]
"e" you should know can be written as the sum of sinusoids.
And from Calculus you recall that integrals of trig functions are usually also trig functions.
So the Inverse Transform integral will in general be sinusoid when going to the time
domain.
 

1) What is a transfer function?

A transfer function is a mathematical representation that describes the relationship between the input and output of a system. It is commonly used in control systems and signal processing to analyze the behavior and performance of a system.

2) What are complex poles in a transfer function?

Complex poles in a transfer function are poles with imaginary components. They represent the frequency response of a system and can be used to analyze the stability and frequency characteristics of a system.

3) How do complex poles affect the behavior of a system?

Complex poles can affect the behavior of a system by introducing oscillatory behavior or resonance at certain frequencies. This can lead to instability in the system if not properly addressed.

4) How do I find the complex poles in a transfer function?

To find the complex poles in a transfer function, you can use mathematical techniques such as the pole-zero plot or the s-plane plot. These methods allow you to visualize the poles and zeros of the transfer function and determine their location and characteristics.

5) How can I use complex poles to improve the performance of a system?

Complex poles can be used to improve the performance of a system by adjusting the system parameters to ensure that the poles are stable and do not introduce undesirable oscillations or resonances. This can be achieved through methods such as controller design and system tuning.

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