急求MATLAB代码，自动控制原理习题，最好有word格式的
MATLAB\u81ea\u52a8\u63a7\u5236\u539f\u7406\u4e60\u9898\u7cbe\u89e3\u600e\u4e48\u6837\u521a\u5f00\u59cb\u5b66\u4e60\u81ea\u63a7\u539f\u7406\u7684\u65f6\u5019\uff0c\u6709\u70b9\u542c\u5929\u4e66\u7684\u611f\u89c9\u3002\u5f88\u5bb9\u6613\u9677\u5165\u6570\u5b66\u7684\u7ec6\u8282\u4e2d\u53bb\u4e86\u3002\u770b\u4e86\u8fd9\u672c\u4e66\u4ee5\u540e\uff0c\u53d1\u73b0\u5f88\u591a\u6240\u6709\u7684\u6570\u5b66\u7ec6\u8282\u90fd\u53ef\u4ee5\u4ea4\u7ed9\u8ba1\u7b97\u673a\u5b8c\u6210\u7684\u65f6\u5019\uff0c\u518d\u770b\u81ea\u52a8\u63a7\u5236\u539f\u7406\uff0c\u4e00\u5207\u8c41\u7136\u5f00\u6717\u4e86\u3002
\u800c\u5e7f\u544a\u8d39\u4e0e\u9500\u552e\u91cf\u6210\u4e8c\u6b21\u591a\u9879\u5f0f\uff08\u629b\u7269\u7ebf\u5173\u7cfb\uff09\u5173\u7cfb
Linear model Poly2:
f(x) = p1*x^2 + p2*x + p3
Coefficients (with 95% confidence bounds):
p1 = -0.0004256 (-0.0004701, -0.0003811)
p2 = 0.04092 (0.03768, 0.04416)
p3 = 1.019 (0.9702, 1.067)
Goodness of fit:
SSE: 0.002515
R-square: 0.997
Adjusted R-square: 0.9957
RMSE: 0.02243
\u4ef7\u683c\u4e0e\u552e\u51fa\u91cf\u6210\u7ebf\u6027\u5173\u7cfb\uff0c
Linear model Poly1:
f(x) = p1*x + p2
Coefficients (with 95% confidence bounds):
p1 = -5.133 (-5.573, -4.694)
p2 = 50.42 (48.58, 52.27)
Goodness of fit:
SSE: 3.622
R-square: 0.9909
Adjusted R-square: 0.9896
RMSE: 0.7193
\u4f7f\u7528\u975e\u7ebf\u6027\u89c4\u5212\u6c42\u89e3\uff0c\u5efa\u7acb\u51fd\u6570\u6587\u4ef6\u5b58\u4e3aXno.m
function [f,g]=Xno(x)
x1=[0 10 20 30 40 50 60 70];
y1=[1.0 1.40 1.70 1.85 1.95 2.00 1.95 1.80];
x2=[2.0,2.5,3.0,3.5,4.0,4.5,5.0,5.5,6.0];
y2=[41,38,34,32,29,28,25,22,20];
a=polyfit(x1,y1,2);
b=polyfit(x2,y2,1);
f=-(x(2)-2)*polyval(b,x(2))*polyval(a,x(1))+x(1)
g(1)=x(1)-70;
g(2)=x(2)-6;
g(3)=-x(1);
g(4)=-x(2)+2;
\u5728\u547d\u4ee4\u7a97\u53e3\u8f93\u5165
x0=[30 3];opt\uff081\uff09=1\uff1b
>> x=constr('Xno',x0,opt)
\u53ef\u5f97\u5e7f\u544a\u8d39\u548c\u4ef7\u683c\u3002
x =
33.1166 5.9113
这些东西很基础，网上书上一般都有，你随便搜一下就有了。代码如下~~
num=[1 -2 2];
den=[1 3 2 0];
rlocus(num,den)
grid on
xlabel('Real Axis'),ylabel('Imaginary Axis');
title('Root Locus')
运行m程序后，可得根轨迹曲线。随后在代码之后再添加一行：
k=rlocfind(num,den);
重新运行后，matlab窗口会提示“Select a point in the graphics window“，在跳出来的根轨迹图中选中与虚轴的交点，对比右上方workplace中的数据可验证Kmax=0.79（人工取点会有点误差），红色“+”处为取的点。至于为什么要取与虚轴的交点，那是因为在整定参数的过程中，K值越大，系统调节时间越短，更容易出现超调，但是当K值大到一定程度后，系统将由稳定状态过渡到不稳定状态，稳定到不稳定的临界线即虚轴~~
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绛旓細鍙傝浠ｇ爜锛歴=zpk('s');G=1/((s+1)*(s^2+6*s+10))rlocus(G)
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