Temperature influence analysis on parameter estimation of induction motors using differential evolution

Estimating Parameters of the Induction Machine by the Polynomial Regression

“…where N is the number of acquisitions. Assume that the relation between the two variables is polynomial, as shown in Equation (6). The error between the experimental data and polynomial fraction, En, is Therefore, the input impedance can be expressed as a polynomial fraction.…”

“…Comparing Equations (4)- (6), the relationship between the polynomial fractional coefficients and the induction machine parameters is…”

“…Its estimated value is sufficient for a steady-state analysis to provide approximate parameters [5]. In the differential evolution method, a broad range of each parameter was considered, and the convergence of the algorithm was satisfactory, attesting to the robustness of the method [6]. The method fits the steady-state experimental data to the stator current locus for various slip frequencies in the stator flux linkage reference-frame [7], and can better able estimate the core loss conductance.…”