Simulink Simulation for Position Tracking Using Fuzzy Control

This is a Simulink simulation program designed for position tracking using fuzzy control algorithms. The implementation incorporates a fuzzy logic controller (FLC) within the Simulink environment to establish intelligent mapping between system inputs and outputs through membership functions and rule-based inference. The core algorithm utilizes Mamdani-type fuzzy inference with position error and error derivative as input variables, generating appropriate control signals for precise tracking. Key Simulink components include Fuzzy Logic Controller blocks, parameter-tuning interfaces, and real-time visualization scopes for monitoring system performance. Through adjustable controller parameters like rule weighting and output scaling factors, users can optimize tracking performance and study stability characteristics. This simulation serves as an effective platform for understanding fuzzy control applications in motion systems and validating control strategies before hardware implementation.