Fuzzy logic-based control for nonlinear dynamics in the ball and beam system

The Ball and Beam system is a widely studied nonlinear and underactuated system in control engineering, serving as a benchmark for evaluating advanced control strategies. This paper presents a fuzzy logic-based control approach to regulate the ball’s position and stabilize the system. Unlike traditional control methods such as PID controllers, fuzzy logic control (FLC) offers robustness against nonlinearities and model uncertainties by employing a rule-based inference mechanism. A mathematical model of the system is developed, followed by the design and tuning of the fuzzy controller. The proposed approach is validated through simulations, demonstrating its effectiveness in minimizing overshoot, reducing settling time, and ensuring stability under varying initial conditions. The simulation results highlight the superior adaptability of the fuzzy logic controller in handling disturbances and system uncertainties compared to conventional control techniques. Experimental validation on a physical setup will also be conducted to further confirm the practical applicability of the proposed control strategy.