Скачать или смотреть Experimental video of FUZZY-PID and GA-PID controlling Beam and Ball systems

This paper investigates the control of the nonlinear and unstable ball and beam system using two intelligent approaches: Fuzzy-PID and Genetic
Algorithm optimized PID (GA-PID). The ball and beam system is a typical single-input multi-output (SIMO) benchmark that challenges traditional
controllers due to its strong nonlinearity and instability. To enhance control performance, a fuzzy logic-based PID is designed to adaptively
adjust controller gains, while a genetic algorithm is applied to optimally tune PID parameters. The proposed controllers are tested through
MATLAB/Simulink simulations and experimental setups. Results demonstrate that both Fuzzy-PID and GA-PID outperform the conventional
PID controller provides faster response, reduced overshoot, and improved stability under parameter variations. These outcomes confirm the
effectiveness of hybrid intelligent control methods in dealing with complex nonlinear systems like the ball and beam