1) by Taylor series expansion
We know that from Taylor series expansion of dead Time
e-td*s = 1- td*s where td is dead time
And e-td*s = (1/etd*s) = 1/(1+td*s)
So the given transfer function is approximate as first order with dead time as = K*e-td*s /(1+ts)
t is the time constant
So we keep the largest time constant as the first order time constant t= 10
K = -3
So to calculate td
-0.5s+1 = e-0.5s
1/(5s+1) ~ e-5s
1/(2s+1) ~ e-2s
So the given transfer function look like
Gps = -3*e-2s*e-0.5s*e-5s *e -2s /(10s+1)
Gps = -3e-9.5s /(10s+1)
B)
By skogested approximation
K = same as in the given transfer function = -3
t = time constant = largest time constant + (second largest time constant/2) =10+(5/2) = 12.5
Dead time = (second largest time constant /2) + dead time in given transfer function+ all left time constant in given transfer function + 0.5
= (5/2)+ 2 + 2+0.5 = 7
Therefore Gps = -3e-7s /(12.5s+1)
Consider a process with transfer function 3e-2s (0.5s - 1) Gp($) = (10s + 1)(5s +1)(2S + 1) Find an approximate model...
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