CONTROL OF GENETIC ALGORITHMS - FUZZY ANTI - SWING SUSTAINABILITY OF 3D CRANE SYSTEM

Abstract

The paper uses the fuzzy logic controller to create the anti-swing controller of crane system. The fuzzy logic controller is designed totally from information of the experienced-operator. Simultaneously, uses more genetic algorithm to optimize the parameters inside the crane controller. The controller’s purpose controls position and prevent the payload angle swing at the desired position in order to reduce industrial accidents and increase work performance. The simulated results are performed on Matlab Simulink shows that the system has good position quality as well as the ability to reduce payload angle swing in comparision with PID controller in varying parameter condition