邱建琪 智能控制作业一

1、智能控制作业一：离散论域模糊控制表的离线计算作业一上传地址: 验证码: motor表1 输入变量E的隶属度函数表E-6-5-4-3-2-10123456NB1.00.80.60.30.100000000NM0.20.61.00.60.200000000NS00.10.30.71.00.70.30.100000NZ00000.10.61.0000000PZ0000001.00.60.10000PS000000.10.30.71.00.70.30.10PM000000000.20.61.00.60.2PB000000000.10.30.60.81.0表2 变量EC和I的隶属度函数表-6-5-4-3

2、-2-10123456NB1.00.60.30000000000NM0.30.61.00.60.300000000NS000.30.61.00.60.3000000ZE00000.30.61.00.60.30000PS0000000.30.61.00.60.300PM000000000.30.61.00.60.3PB00000000000.30.61.0表3 控制规则表ECIENBNMNSZEPSPMPBNBNBNBNBNBNMZEZENMNBNBNBNBNMZEZENSNMNMNMNMZEPSPSNZNMNMNSZEPSPMPMPZNMNMNSZEPSPMPMPSNSNSZEPMPMPMPM

3、PMZEZEPMPBPBPBPBPBZEZEPMPBPBPBPB表4 输出控制表（e，ec，i均为清晰量）程序代码：input1=1.0 0.8 0.6 0.3 0.1 0 0 0 0 0 0 0 0; 0.2 0.6 1.0 0.6 0.2 0 0 0 0 0 0 0 0; 0 0.1 0.3 0.7 1.0 0.7 0.3 0.1 0 0 0 0 0; 0 0 0 0 0.1 0.6 1.0 0 0 0 0 0 0; 0 0 0 0 0 0 1.0 0.6 0.1 0 0 0 0; 0 0 0 0 0 0.1 0.3 0.7 1.0 0.7 0.3 1.0 0; 0 0 0 0 0 0 0

4、 0 0.2 0.6 1.0 0.6 0.2; 0 0 0 0 0 0 0 0 0.1 0.3 0.6 0.8 1.0;input2=1.0 0.6 0.3 0 0 0 0 0 0 0 0 0 0; 0.3 0.6 1.0 0.6 0.3 0 0 0 0 0 0 0 0; 0 0 0.3 0.6 1.0 0.6 0.3 0 0 0 0 0 0; 0 0 0 0 0.3 0.6 1.0 0.6 0.3 0 0 0 0; 0 0 0 0 0 0 0.3 0.6 1.0 0.6 0.3 0 0; 0 0 0 0 0 0 0 0 0.3 0.6 1.0 0.6 0.3; 0 0 0 0 0 0 0 0

5、 0 0 0.3 0.6 1.0;output=1.0 0.6 0.3 0 0 0 0 0 0 0 0 0 0; 0.3 0.6 1.0 0.6 0.3 0 0 0 0 0 0 0 0; 0 0 0.3 0.6 1.0 0.6 0.3 0 0 0 0 0 0; 0 0 0 0 0.3 0.6 1.0 0.6 0.3 0 0 0 0; 0 0 0 0 0 0 0.3 0.6 1.0 0.6 0.3 0 0; 0 0 0 0 0 0 0 0 0.3 0.6 1.0 0.6 0.3; 0 0 0 0 0 0 0 0 0 0 0.3 0.6 1.0;rule=1 1 1 1 2 4 4; 1 1 1

6、1 2 4 4; 2 2 2 2 4 5 5; 2 2 3 4 5 6 6; 2 2 3 4 5 6 6; 3 3 4 6 6 6 6; 4 4 6 7 7 7 7; 4 4 6 7 7 7 7;output_Terms=-6,-5,-4,-3,-2,-1,0,1,2,3,4,5,6;% 求取模糊关系矩阵RR=zeros(size(input1,2)*size(input2,2),size(output,2);for m=1:size(input1,1) for n=1:size(input2,1) index=rule(m,n); a=input1(m,:); b=input2(n,:);

7、c=output(index,:); A=a'*ones(size(b); B=ones(size(a')*b; Rc=min(A,B); Rc=Rc' Rc=Rc(:); a=Rc' b=c; A=a'*ones(size(b); B=ones(size(a')*b; Rc=min(A,B); R=max(R,Rc); endend % 求取模糊输入Rc、模糊输出Cd及解模糊Ad=zeros(1,size(input1,2);Bd=zeros(1,size(input2,2);Cd=zeros(size(R,1)*size(R,1),size(

8、R,2);index=1;for m=1:size(input1,2) for n=1:size(input2,2) a=Ad; b=Bd; a(1,m)=1; b(1,n)=1; A=a'*ones(size(b); B=ones(size(a')*b; Rc=min(A,B); Rc=Rc' Rc=Rc(:); Rc=Rc' for i=1:size(R,2) Cd(index,i)=max(min(Rc(:),R(:,i); end sum1=0; sum2=0; for j=1:size(R,2) sum1=sum1+Cd(index,j); sum2=sum2+Cd(index,j)*output_Terms(j); end OUT=(1.0*sum2/sum1); Fuzzy_Table(m,n)=OUT; index=index+1; endendFuzzy_Table= Fuzzy_Table'实验心得： 通过本次试验加深了我对于模糊控制技术的理解，同时熟练掌握了离