Enhancing the Feedforward –Feedback Controller for Nonlinear Overhead Crane Using Fuzzy logic controller

Abstract

Due to the demand for transportation of masses and products in power stations, factories, and offshores, the overhead cranes are commonly used to do these tasks. It has necessary that, it should be safely, quickly and accurately as possible as without collision or highly swinging, or in other words saving time and reduce costs. If an operator runs manually the crane more time required, in addition many larger companies create automatized crane like a milling machine. Although, there are many researchers have suggested many controllers, this subject is still a challenge for the designer. The suddenly change of loads or the air streams or even the flexibility change of cable of cranes working in foundries may cause disturbance and variation in the control parameters. However, in this paper a new feedforward and feedback controller has designed to move the crane as fast as possible with small angle of oscillation firstly, then a Fuzzy logic controller has added to gather to the controller for enhancing the efficiency of the system. Finally, the MATLAB-Simulink models have been implemented for analysis and simulation of the suggested controller. The achieved results demonstrated the effectiveness of the proposed method. Moreover, the proposed methods have robustness to cope with parameters variations.