METHOD FOR CONFIGURING AND CONTROLLING AN ELECTRICAL CONVERTOR, CONVERTER CONTROLLER, AND CONVERTER

In order to configure the converter (CON), a plurality of operating data sets (BD) of the converter is read in, the converter comprising: - an adjustable reference generator (RGEN) for generating a reference signal (RF) for an output signal (VABC) of the converter; - a pulse width modulator (PWM) for producing a square-wave signal (RS) which is pulse-width-modulated by means of the reference signal (RF); and - a transforming unit (TP) for transforming the square-wave signal (RS) into the output signal (VABC). The operating data sets (BD) are each fed into a first machine learning module (ML1). According to the invention, for each resulting output data set (SD1) of the first machine learning module a converter performance resulting from an adjustment of the reference generator (RGEN) on the basis of said output data set (SD1) is determined. The first machine learning module (ML1) is then trained, by means of a numerical optimization method, to optimize the determined performance. In order to control the converter (CON), present operating data sets (BD) of the converter are continually acquired and fed into the trained first machine learning module (ML1). By means of the first adjustment data sets (SD1) outputted by the first machine learning module (ML1), the reference generator (RGEN) is continually adjusted.