Design and control with efficiency and performance are one of the most goals to achieve in the robotics field, cranes or aerospace automation. The stability of the system is essential and the non-linear effects create by motor reduce stability, like maintain speed or position at set points. The position control of DC motor allows it to move to a precise position and remain there even if an external force tries to move it. Different techniques have been developed to perform the position control of DC Motor, the most used are Proportional-Integral-Derivative(PID), Fuzzy Logical Model(FLM) and Artificial Neural Network(ANN). This thesis discusses the implementation and tuning steps of the Proportional Integral Derivative (PID) controller for the position control of Brushed DC Motor.