Simulation of Segmented Fuzzy Control for DC Motor Speed Regulation

This research focuses on simulating segmented fuzzy control to achieve precise speed regulation for DC motors. Segmented fuzzy control represents an innovative methodology that partitions the controller output into multiple fuzzy set regions, with corresponding fuzzy rules applied to each segment. The implementation typically involves defining trapezoidal or triangular membership functions in MATLAB's Fuzzy Logic Toolbox, where each segment corresponds to specific speed error and error derivative ranges. Key algorithmic components include: 1) Designing separate rule bases for low, medium, and high-speed operating regions 2) Implementing defuzzification methods like centroid calculation for each segment 3) Tuning membership function parameters through iterative simulation. The study combines numerical simulations (implemented in Simulink with custom fuzzy logic blocks) and practical experiments to validate the effectiveness and superiority of segmented fuzzy control in DC motor speed regulation. The anticipated outcomes are expected to provide a novel and efficient solution for DC motor speed control applications, featuring improved transient response and reduced overshoot compared to conventional PID controllers.