In engineering applications, the parameters of traditional PI controllers are often used, but they cannot achieve optimal control. To address this issue, this paper investigates fuzzy controllers and proposes an improved fuzzy control closed-loop system by combining genetic algorithms with traditional fuzzy controllers. An engineering system model is established to compare the performance of the improved fuzzy controller with that of the traditional fuzzy controller, and it is applied to the UFOPDT system for comparison with other algorithms to study the control performance of the closed-loop system. Simulation results indicate that the improved fuzzy controller exhibits faster dynamic response and higher regulation accuracy, achieving effective control of speed and current in a DC speed control system, outperforming traditional control methods and demonstrating greater applicability in engineering design.