1.9 KiB
1.9 KiB
author | date | title | tags | uuid | lecture_slides | ||||
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Akbar Rahman | \today | MMME2046 // Control |
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73e04dd2-ee4c-4952-a9b7-7df3930d2d2d | ./lecture_slides/Control 2 2022.pdf |
Lecture Slides Corrections
p26
First line should be
C(s) = \frac{5}{s(s+5)} = \frac 1s \frac{1}{1+0.2s}
System and Block Diagrams
Laplace Transform
F(s) = \mathscr L {F(t)} = \int^\infty_0 f(t)e^{-st} \mathrm{d}t
where s = \alpha + j\omega
The function F(s)
is often much easier to manipulate than periodic function f(t)
.
Final Value Theorem
As f(t)
tends to infinity, sF(s)
tends to 0.
Example
\dot x_o = ax_o = ax_i
where x_o
is the output and x_i
is the input
Take the Laplace transform:
sX_o(s) + aX_o(s) = aX_i(s)
Rearrange to get equation for the transfer function:
G(s) = \frac{X_o}{X_i} = \frac{a}{s+a}
X_o = GX_i
If X_i
is a unit step, then:
X_i = \frac1s
and
X_o = \frac{a}{s(s+a)}
Taking the inverse gives:
X_0 = 1 - e^{-at}
Non-Linearity
Sometimes, components of a system will not reduce to a simple linear relationship. When this is the case superposition and Laplace transforms do not apply/are not valid.
Reasons for this include:
-
saturation
-
backlash
-
clearance
-
coulomb friction
-
material non-linearity
-
flow through an orifice (choked flow)
Linearisation
System behaviour is approximated to a linear relationship near the "nominal" operating point: