I'm modeling an doubly-fed induction generator (DFIG) ( with Matlab.
My problem is that I need an iteration method to solve a black box model for this non-linear model of the DFIG. The input is a complex number, basically z = x + i*y. The model gives an output S = a + i*b. I need somekind of feedback from the output to make the input value to converge to the right value. I've already solved the problem analytically but because the problem is more complicated in real life, I can't use the linear equations. However, I can use the analytical equations to model the black box.
My problem is that I need an iteration method to solve a black box model for this non-linear model of the DFIG. The input is a complex number, basically z = x + i*y. The model gives an output S = a + i*b. I need somekind of feedback from the output to make the input value to converge to the right value. I've already solved the problem analytically but because the problem is more complicated in real life, I can't use the linear equations. However, I can use the analytical equations to model the black box.
