Bal*_*yal 0 matlab extrapolation
我正在使用2-D插值interp2.对于某些数据值,interp2命令返回NaN,因为其中一个维度超出了已知值向量定义的范围.
可以使用interp1命令进行推断.但是,有没有办法做到这一点interp2?
谢谢
这是我使用interp2命令的代码:
function [Cla] = AirfoilLiftCurveSlope(obj,AFdata,Rc,M)
% Input:
% AFdata: Airfoil coordinates.
% Rc: Local Reynolds number.
% M: Mach number for Prandtle Glauert compressibility correction.
% Output:
% Cla: 2 dimensional lift curve slopea applicable to linear region of lift polar.
load('ESDU84026a.mat');
xi = size(AFdata);
if mod(xi(1,1),2) == 0
%number is even
AFupper = flipud(AFdata(1:(xi(1,1)/2),:));
AFlower = AFdata(((xi(1,1)/2)+1):end,:);
else
%number is odd
AFupper = flipud(AFdata(1:floor((xi(1,1)/2)),:));
AFlower = AFdata((floor(xi(1,1)/2)+1):end,:);
end
t_c = Airfoil.calculateThickness(AFdata(:,2));
Y90 = ((interp1(AFupper(:,1),AFupper(:,2),0.9,'linear')) - (interp1(AFlower(:,1),AFlower(:,2),0.9,'linear')))*100;
Y99 = ((interp1(AFupper(:,1),AFupper(:,2),0.99,'linear')) - (interp1(AFlower(:,1),AFlower(:,2),0.99,'linear')))*100;
Phi_TE = (2 * atan( ( (Y90/2) - (Y99/2) )/9))*180/pi; % Degrees
Tan_Phi_Te = ( (Y90/2) - (Y99/2) )/9;
Cla_corr = interp2(Tan_Phi,Rc_cla,cla_ratio,Tan_Phi_Te,Rc,'linear');
beta =sqrt((1-M^2)); % Prandtle Glauert correction
Cla_theory = 2*pi + 4.7*t_c*(1+0.00375 * Phi_TE); % per rad
Cla = (1.05/beta) * Cla_corr * Cla_theory; % per rad
if isnan(Cla) == 1 %|| Cla > 2*pi
Cla = 2*pi;
end
end
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是的,interp2根据文档,有两种方法可以将有意义的值返回到界限之外.
'spline'插值方法.与选项#2不同,这实际上将根据样条曲线的边界条件推断数据.extrapval参数.将返回此常量,而不是NaN所有其他插值方法.不幸的是,似乎没有办法指定类似"网格上的最近邻居"之类的东西.如果越界元素靠近边缘,也许你可以只扩展输入数组.例如这样:
x = [x(1, 1), x(1, :), x(1, end); ...
x(:, 1), x, x(:, end); ...
x(end, 1), x(end, :), x(end, end)]
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