Transfer functions for controls¶

Lets look at a very general control scheme:

General feedback loop

with the block and signals:

  • $F$ : feedforward controller
  • $C$ : feedback controller
  • $P$ : the plant
  • $r$ : reference signal, global input
  • $e$ : tracking error
  • $u$ : control signal
  • $d$ : input disturbance
  • $v$ : disturbed input
  • $\eta$ : plant output
  • $n$ : output disturbance
  • $y$ : disturbed output, global output

I'm sure you're now able to do this, but I'll do it for you, the algebraic expressions for the error and output are $$ e = \frac{F}{1 + PC} r + \frac{-1}{1 + PC} n + \frac{-P}{1 + PC} d = G_{er}r + G_{en}n + G_{ed}d \text{, and}$$ $$ y = \frac{PCF}{1 + PC} r + \frac{1}{1+PC} n + \frac{P}{1 + PC} d = G_{yr}r + G_{yn}n + G_{yd}d.$$ You might recognise the fractions as transfer functions and this reveals the robust control problem they might tackle in the master course: how to reject noise, but follow the reference?