Water Tank Level Fuzzy Control Simulation and Sugeno Fuzzy Control Simulation Program

This simulation program models water tank level control using both conventional fuzzy logic and Sugeno-type fuzzy control systems, designed to help users better understand the principles and applications of these control methodologies. The program allows you to experiment with different control strategies by adjusting input parameters and observing output responses, demonstrating how various fuzzy inference mechanisms affect liquid level stabilization. The implementation includes Mamdani-type fuzzy controllers with centroid defuzzification and Sugeno controllers using linear output functions, typically implemented through fuzzy logic toolbox functions like addvar, addmf, and evalfis. Detailed documentation provides background knowledge on fuzzy set theory, membership function design, rule base construction, and real-time control implementation aspects. The simulation environment enables analysis of system response characteristics including rise time, settling time, and steady-state error under different disturbance conditions. This program serves as an educational tool for learning and research purposes in intelligent control systems.