The invention relates to a self-learning repetitive method for an electrical drive or motor, in particular a linear or slewing drive, for determining the maximum speed during the movement of the actuator between a starting point (SP) and an end point (EP), wherein the actuator is accelerated to a speed vmax over a first distance (xbeschl), is braked over a second distance (xbrems) and is then moved at a safe low speed (vsafe) over a third distance (xsafe) as far as the stop and is stopped. The method is repeated with the aim of minimizing the third distance (xSafe,min) and thereby achieving the maximum speed (BPmax, vmax). The method also provides for taking into account the external interfering influences, for example external forces and friction. The invention also relates to such an electrical drive.