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控制系統(tǒng)仿真(MATLAB版)(六)

2020-10-22 00:22 作者:永遠的修伊  | 我要投稿

控制系統(tǒng)時域運動響應分析

>> A = [-2 -2.5 -2.5;1 0 0; 0 1 0];?

>> B = [1;0;0];

>> C = [0 1.5 1];

>> D = 0;

>> x0 = [2 2 0];

>> G = ss(A,B,C,D);

>> initial(G,x0)


initial conditions

>> A = [-0.2 0.5 0 0 0 ;0 -1.5 1.6 0 0 ;0 0 -14.3 85.8 0;0 0 0 -33.3 100;0 0 0 0 -10];

>> B = [0;0;0;0;30];

>> C = [1,0,0,0,0];

>> D = 0;

>> G = ss(A,B,C,D)


G =

?

? A =?

? ? ? ? ? x1? ? ?x2? ? ?x3? ? ?x4? ? ?x5

? ?x1? ?-0.2? ? 0.5? ? ? 0? ? ? 0? ? ? 0

? ?x2? ? ? 0? ?-1.5? ? 1.6? ? ? 0? ? ? 0

? ?x3? ? ? 0? ? ? 0? -14.3? ?85.8? ? ? 0

? ?x4? ? ? 0? ? ? 0? ? ? 0? -33.3? ? 100

? ?x5? ? ? 0? ? ? 0? ? ? 0? ? ? 0? ? -10

?

? B =?

? ? ? ?u1

? ?x1? ?0

? ?x2? ?0

? ?x3? ?0

? ?x4? ?0

? ?x5? 30

?

? C =?

? ? ? ?x1? x2? x3? x4? x5

? ?y1? ?1? ?0? ?0? ?0? ?0

?

? D =?

? ? ? ?u1

? ?y1? ?0

?

Continuous-time state-space model.


>> impulse(G)

impulse response

>> G = tf([5 8],[1 4 6 3 3]);

>> step(G)


>> s = tf('s');

>> G = 143.7*(s+1.5)/((s^2+2*s+5)*(s^2+10*s+26)*(s+1.7))


G =

?

? ? ? ? ? ? ? ? ? ? ?143.7 s + 215.5

? -----------------------------------------------------

? s^5 + 13.7 s^4 + 71.4 s^3 + 188.7 s^2 + 303.4 s + 221

?

Continuous-time transfer function.


>> zpk(G)


ans =

?

? ? ? ? ? ? ? ?143.7 (s+1.5)

? ---------------------------------------

? (s+1.7) (s^2 + 10s + 26) (s^2 + 2s + 5)

?

Continuous-time zero/pole/gain model.


>> pzmap(G)

零極點


>> [p,z] = pzmap(G)


p =

? -5.0000 + 1.0000i

? -5.0000 - 1.0000i

? -1.0000 + 2.0000i

? -1.0000 - 2.0000i

? -1.7000 + 0.0000i

z =

? ?-1.5000

判斷出主導極點? ? ? ??? ? ? ? ?

p =

? -5.0000 + 1.0000i

? -5.0000 - 1.0000i

? -1.0000 + 2.0000i

? -1.0000 - 2.0000i

? -1.7000 + 0.0000i

? ?用主導極點簡化原系統(tǒng)(高階系統(tǒng)降階),注意開環(huán)增益的變化

轉換后如下

>> G1 = 147.3/26*(s+1.5)/((s+1.7)*(s^2+2*s+5))

G1 =

? ? ? ? 5.665 s + 8.498

? ---------------------------

? s^3 + 3.7 s^2 + 8.4 s + 8.5


Continuous-time transfer function.


>> zpk(G1)


ans =

?

? ? ? 5.6654 (s+1.5)

? ----------------------

? (s+1.7) (s^2 + 2s + 5)

?

Continuous-time zero/pole/gain model.

? ? ? ? ? ? ? ? ? ? ? ? ?

勉強能接受

? ? ?

>> G = tf(500,conv([1 10 50],[1 10]))


G =

?

? ? ? ? ? ? ?500

? --------------------------

? s^3 + 20 s^2 + 150 s + 500

?

Continuous-time transfer function.


>> zpk(G)


ans =

?

? ? ? ? ? ? 500

? -----------------------

? (s+10) (s^2 + 10s + 50)

?

Continuous-time zero/pole/gain model.


>> pzmap(G)

>>?

>> [p,z] = pzmap(G)

p =

?-10.0000 + 0.0000i

? -5.0000 + 5.0000i

? -5.0000 - 5.0000i

z =

? 0×1 empty double column vector

主導極點

p =

?-10.0000 + 0.0000i

? -5.0000 + 5.0000i

? -5.0000 - 5.0000i

降階

>> G1 = tf(50,[1 10 50])


G1 =

?

? ? ? ? 50

? ---------------

? s^2 + 10 s + 50

>> step(G,G1)

>> t = 0:0.01:4*pi;

>> ut1 = sin(t+30/180*pi);

>> ut2 = 2*cos(5*t+30/180*pi);

>> sys = 5*tf([1 1],conv([1 0],[1 4 2 3]));

>> lsim(sys,ut1,t)

lsimplot(sys,ut2,t)

>> G1 = tf([1],conv([1 0],conv([1 2 2],[1 6 13])));

>> G2 = tf([1 12],conv([1 0],conv([1 12 100],[1 10])));

>> G3 = tf([0.05 1],conv([1 0],conv([0.0714 1],[0.0125 0.1 1])));

>> G4 = tf([1 -1 -20],conv([1 0],conv([1 1],[1 3])));

>> rlocus(G1)

>> rlocus(G2)

>> rlocus(G3)

>> rlocus(G4)

G1
G2
G3
G4

>> G = tf([1 2 4],conv([1 0],conv([1 4],conv([1 6],[1 1.4 1]))))


G =

?

? ? ? ? ? ? ? ? s^2 + 2 s + 4

? -----------------------------------------

? s^5 + 11.4 s^4 + 39 s^3 + 43.6 s^2 + 24 s

?

Continuous-time transfer function.


>> zpk(G)


ans =

?

? ? ? ? ? (s^2 + 2s + 4)

? ------------------------------

? s (s+6) (s+4) (s^2 + 1.4s + 1)

?

Continuous-time zero/pole/gain model.


>> rlocus(G)

>>sgrid

>> G = tf([1 2],conv([1 0],conv([1 4],conv([1 8],[1 2 5]))));

>> zpk(G)

ans =

? ? ? ? ? ? ?(s+2)

? ----------------------------

? s (s+8) (s+4) (s^2 + 2s + 5)

?

Continuous-time zero/pole/gain model.


rlocus實際模型

>> rlocus(G)? ? %負反饋

負反饋

>> rlocus(-G)? %正反饋

正反饋

>> G = zpk([],[0;-1;-2],1)

G =

?

? ? ? ? 1

? -------------

? s (s+1) (s+2)

?

Continuous-time zero/pole/gain model.

>> rlocus(G,1.5)

幅值裕量和相位裕量

>>? G = zpk([],[0 -1 -2],1.5)


G =

?

? ? ? ?1.5

? -------------

? s (s+1) (s+2)

?

Continuous-time zero/pole/gain model.


>> [gm,pm,wg,wp] = margin(G)


gm =


? ? 4.0000



pm =


? ?41.5340



wg =


? ? 1.4142



wp =


? ? 0.6118


>> margin(G)







>> wn = 0.7;

>> s = tf('s');

>> kesi = [0.1,0.4,1.0,1.6,2.0];

>> for ii = kesi

? ? ? ?figure;

? ? ? ?G = wn^2/(s^2+2*ii*wn*s+wn^2);

? ? ? ?bode(G);

? ?end

>>?

>> G = 500*tf([0.0167 1],conv([1 0],conv([0.0025 1],conv([0.05 1],[0.001 1])))) ;

>> bode(G)

>> [gm,pm,wg,wp] = margin(G)


gm =


? ? 7.1968



pm =


? ?45.5298



wg =


? 586.6697



wp =


? 161.7414


>> margin(G)

>> nyquist(zpk([-1],[-0.8+1.6*j -0.8-1.6*j],3))

kosi = [0.4,0.7,1.0,1.3];

for ii = kosi

? ? ? figure;

? ? ? G = tf(1,[1 2*kosi 1]);

? ? ? nyquist(G);

end

0.4
0.7
1.0
1.3

>> G1 = zpk([],[0 0 1/5 -5],2);

>> G2 = 8*tf([1 1],conv([1 0 0],conv([1 15],[1 6 10])));

>> G3 = zpk([-3],[0 -50 -20 -10],4);

>> A = [0 2 1;-3 -2 0;1 3 4];

>> B = [4;3;2];

>> C = [1 2 3];

>> D = 0;

>> G4 = ss(A,B,C,D);

>> bode(G1)

>> nyquist(G1)

>> bode(G2)

>> nyquist(G2)

>> bode(G3)

>> nyquist(G3)

>> bode(G4)

>> nyquist(G4)

G1
G1
G2
G2
G3
G3
G4
G4


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