Systems

Systems can eventually be simplified so we can analyze them easily.

Where we can analyze with inverse Laplace transforms.

Signals

Input

  • Reference (generally a step or ramp):

Perturbations

  • Disturbance:
  • Sensor Noise:

Output

  • Output response:

We always want .

Analysis

  1. Is the plant stable?
  2. Where are the poles/zeros? where the poles are roots of and zeros are roots of
  3. What does the impulse response, step response, and ramp response look like?
  4. Is the time-domain behavior acceptable?

Reviewid1((Some text))

Open Loop Topology

In theory, if we don’t like the behavior of the Plant, we can design the controller to replace the poles:

This is an open loop with no feedback:

The overall transfer function becomes:

If , we can cancel the poles of the Plant and replace them with . The plant must be stable for us to do this. Pole cancellation does not work on unstable plants.

Closed Loop Topology

flowchart LR
id1((Σ)) --> id2("Dc(s)")
id2 --> id3("G(s)")

If the output

Example of Closed Loop Inspection

This must be unstable because there is a pole in the Ride-hand plane/

Can the plant be made stable?

  1. Move the unstable pole from the RHP to the LHP. How do we do this? feedback

In a PID controller, , where is a constant gain.

Note that is forward gain, which is equivalent to

The is the feedback gain.

When , we call it unity gain.

Example of Control System with Unity Gain