Fuzzy Adaptive Control for Three-Tank Water System Problem

In this project, we developed a MATLAB solution for fuzzy adaptive control applied to a three-tank water system. The implementation includes plotting input and output parameter curves after applying adaptive fuzzy PID control, along with membership function curves for all input and output parameters. Additionally, we created a comprehensive fuzzy control rule table to better understand the system's control logic. The MATLAB code employs fuzzy logic toolbox functions like addvar, addmf, and evalfis to establish the fuzzy inference system. The adaptive PID controller dynamically adjusts parameters using error and error derivative inputs through weighted membership functions. Key algorithms implemented include centroid defuzzification method and Mamdani-type fuzzy inference system for smooth control surface generation. The visualization components utilize MATLAB's plot and subplot functions to display real-time control performance, membership function distributions across input domains, and 3D rule surface plots demonstrating the control relationship between system variables.