DC machines (motors) have become a popular choice in industrial applications to improve the speed, efficiency, and effectiveness of manufacturing processes, while also enhancing both production quality and output. Advances in technology are pivotal in achieving these goals. Soft computing-based control systems, such as intelligent systems and fuzzy logic, offer effective solutions for managing DC motor operations. In this paper, the application of fuzzy logic in control of DC machine speed with triangular and trapezoidal membership functions has been done as a comparative strategy. The simulation results demonstrate the use of an Intelligent FLC in control of the motor’s rotations. The results indicate that the triangular membership function achieved a speed of 0.45 rad/s with an average fluctuation of 0.055 rad/s, while the trapezoidal membership function delivered a higher speed of 0.52 rad/s, though with a slightly larger average fluctuation of 0.06 rad/s.