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Farid Matlab

The document contains the transfer functions of various components of a complex system. It defines transfer functions W1 through W6 for individual components, then combines them using operations like addition, feedback and multiplication to obtain higher-level transfer functions like Wa and Wq representing the overall system.
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0% found this document useful (0 votes)
33 views6 pages

Farid Matlab

The document contains the transfer functions of various components of a complex system. It defines transfer functions W1 through W6 for individual components, then combines them using operations like addition, feedback and multiplication to obtain higher-level transfer functions like Wa and Wq representing the overall system.
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© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Download as DOCX, PDF, TXT or read online on Scribd
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>> %Ferid Semedov 631.20 variant A24


>> T11=0.5;T12=0.6;T13=0.7;T14=0;T15=2.5;
>> T21=2.6;T22=2.7;T23=2.8;T24=0;T25=0.1;
>> T31=0.2;T32=0.3;T33=0.4;T34=0;T35=1.1;
>> T41=1.2;T42=1.3;T43=1.4;T44=0;T45=2.1;
>> T51=2.2;T52=2.3;T53=2.4;T54=0;T55=0.1;
>> k1=3.4;k2=3.6;k3=4.2;k4=4.4;k5=4.6;k6=4.8;
>> %birinci OF ucun AFTX ve KCP
>> W1=k1*tf([T11 T12],[T13 T14 T15])

W1 =

1.7 s + 2.04
-------------
0.7 s^2 + 2.5

Continuous-time transfer function.


Model Properties
>> bode(W1)
>> grid on
>> step(W1)
>> grid on
>>
>> W2=k2*tf([T21 T22],[T23 T24 T25])

W2 =

9.36 s + 9.72
-------------
2.8 s^2 + 0.1

Continuous-time transfer function.


Model Properties
>> bode(W2)
>> step(W2)
>> bode(W2)
>> grid on
>> step(W2)
>> grid on
>>
>> W3=k3*tf([T31 T32],[T33 T34 T35])

W3 =

0.84 s + 1.26
-------------
0.4 s^2 + 1.1

Continuous-time transfer function.


Model Properties
>> bode(W3)
>> grid on
>> step(W3)
>> grid on
>>
>> W4=k4*tf([T41 T42],[T43 T44 T45])

W4 =

5.28 s + 5.72
-------------
1.4 s^2 + 2.1

Continuous-time transfer function.


Model Properties
>> bode(W4)
>> grid on
>> step(W4)
>> grid on
>>
>> W5=k5*tf([T51 T52],[T53 T54 T55])

W5 =

10.12 s + 10.58
---------------
2.4 s^2 + 0.1

Continuous-time transfer function.


Model Properties
>> bode(W5)
>> grid on
>> step(W5)
>> grid on
>> W6=k6

W6 =

4.8000

>>
>> %A varianti uzre aciq sistemin OF teyin edilmesi
>> W15=W1+W5

W15 =

11.16 s^3 + 12.3 s^2 + 25.47 s + 26.65


--------------------------------------
1.68 s^4 + 6.07 s^2 + 0.25

Continuous-time transfer function.


Model Properties
>> W15=parallel(W1,W5)

W15 =

11.16 s^3 + 12.3 s^2 + 25.47 s + 26.65


--------------------------------------
1.68 s^4 + 6.07 s^2 + 0.25

Continuous-time transfer function.


Model Properties
>> W36=feedback(W3,W6,-1)

W36 =

0.84 s + 1.26
-------------------------
0.4 s^2 + 4.032 s + 7.148

Continuous-time transfer function.


Model Properties
>> Wa=W2*W15*W36

Wa =

87.78 s^5 + 319.5 s^4 + 582.5 s^3 + 868.6 s^2 + 843.9 s + 326.4

-------------------------------------------------------------------------------------------

1.882 s^8 + 18.97 s^7 + 40.49 s^6 + 69.21 s^5 + 123.2 s^4 + 5.27 s^3 + 9.352 s^2

+ 0.1008 s + 0.1787

Continuous-time transfer function.


Model Properties
>> bode(Wa)
>> grid on
>> step(Wa)
>> grid on
>> Wq=feedback(Wa,W4,-1)

Wq =

122.9 s^7 + 447.4 s^6 + 999.8 s^5 + 1887 s^4 + 2405 s^3 + 2281 s^2 + 1772 s
+ 685.5

-------------------------------------------------------------------------------------------

2.634 s^10 + 26.55 s^9 + 60.64 s^8 + 136.7 s^7 + 721 s^6 + 2342 s^5 + 5175 s^4
+ 7929 s^3

+ 9444 s^2 + 6551 s + 1868

Continuous-time transfer function.


Model Properties
>> bode(Wq)
>> grid on
>> step(Wq)
>> grid on
>>

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