Simulink-Based Fuzzy Adaptive Control System for Cart-Pendulum Inverted Balance

This project focuses on designing and simulating a fuzzy adaptive control system for cart-pendulum inverted balance using Simulink software. The system enables autonomous adjustment of control strategies to maintain pendulum stability and achieve precise cart movement. Through MATLAB/Simulink implementation, we'll develop a fuzzy logic controller with adaptive mechanisms that dynamically modifies membership functions and rule bases based on real-time system performance. The simulation will incorporate key blocks including Fuzzy Logic Controller, State-Space models, and adaptive tuning algorithms to validate system robustness under various disturbance conditions. This project integrates control theory, fuzzy logic principles, and adaptive control techniques, featuring step-by-step design methodology with explanations of PID tuning parameters, Lyapunov stability analysis, and real-time adaptation algorithms. Completion of this project will provide deep practical understanding of Simulink applications and fuzzy adaptive control implementation for nonlinear systems.