This article discusses how to regulate a DC motor servo system adaptively using an adaptive filtering approach. A controller for a DC motor servo system was developed utilizing an adaptive filter and the Least Mean Square (LMS) algorithm. Between the adaptive filter and the DC motor servo system, a differentiator was inserted to stabilize the system without the usage of classical feedback. Additionally, the adaption step size was changed in relation to the magnitude of the intended input signal in order to achieve a common convergence time for all desired input signal levels. The simulation results demonstrate that the adaptive filtering technique as a controller is effective at tracking the desired position of the DC motor and performing positioning duties.