Efficiency Improvement of the Random Search Algorithm for Parametric Identification of Electronic Components Models

The methods of parameter extraction of models of electronic components have been considered. By the example of parameter identification of SPICE-models of a semiconductor diode it was shown that it is impossible to obtain even a rough estimate of the models parameters while using standard optimization techniques based on the calculation of derivatives of the objective function. Application of the well-known random search algorithm allows to determine the parameters of SPICE-models for the predetermined experimental characteristic with an acceptable accuracy but under a sufficiently large time of analysis. To improve the efficiency (accuracy and speed of convergence) of the random search algorithm the modification of the aforementioned algorithm based on the use of new non-uniform laws of distribution of random numbers was proposed.