How to use generated code from cftool to find unknown variables
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I have three variables x y and z where x is speed (mx1 array), y is torque (nx1 array), z is efficiency (mxn array). This is a motor data. On using auto fit in cftool it chose interpolant-linear.
I want to find efficiency (z)of the motor at any given speed and torque (i.e x and y). I don't know what to do after generating the code and saving the results in workspace.
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Walter Roberson
am 5 Apr. 2021
z_at_query = interp2(x, y, z.', x_query, y_query)
The .' on z is important. Your data has x going down columns, but in MATLAB x goes across rows.
Antworten (2)
Steven Lord
am 1 Apr. 2021
The fitted object you export to the workspace is an sfit object. You can evaluate an sfit object by passing the values at which you want to evaluate it into the object as shown in the example on that documentation page. The same holds for cfit objects:
load census
f = fit(cdate, pop, 'poly2')
plot(cdate, pop, 'o-') % show the data
hold on
plot(1985, f(1985), 'x') % show the fitted value for 1985
The X looks to be pretty close to the line.
Walter Roberson
am 5 Apr. 2021
The use of interpolant in this case can be replaced by just calling interp2() without using cftool at all.
x y and z where x is speed (mx1 array), y is torque (nx1 array), z is efficiency (mxn array).
z_at_query = interp2(x, y, z.', x_query, y_query)
The .' on z is important. Your data has x going down columns, but in MATLAB x goes across rows.
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