Study Of Crane Anti-swing System Based On The Fuzzy Control System Of Self-adjustable Quantization Factors And Scale Factors

Fast, accurate positing and anti-swing of the bridge cranes, which in the batching-room of LG electronic company at Qinhuangdao is made up of the cart, trolley and hook, work to improve production efficiency and reduce security risks in the key. This stage, the main method to solve the problem is to use electronic anti-swing devices.Currently, there are many experts and scholars at home and abroad using a variety of methods such as the state feedback, PID control, Optimum Control and even the ANNs to research the problem of crane anti-swing. However, various methods have both advantages and limitations.This paper research the problem of the bridge crane anti-swing in the batching-room of LG electronic company at Qinhuangdao, establishing the crane system model. First, the simulation results from the crane anti-swing traditional PID control system show that the method can not control the strong non-linear and uncertain system such as the crane better; In allusion to the inherent defect of the traditional PID controller, the fuzzy control method is proposed, which completed the work through the position fuzzy controller and swing fuzzy controller. The simulation results from the system can be seen that the oscillation in limit areas exists in trolley position control link, leading to that the load can not stop swinging, and that the system is not ideally adaptive. To solve this problem, the conventional fuzzy controller here is needed to be improved. In many fields, the fuzzy controller based on self-adjustable quantization factors and scale factors have achieved good control effect, for its advantages in simplicity, effectiveness and good adaptivity. This method is applied to the crane anti-swing control field in this paper. The improved fuzzy controller lies in the position control link and the conventional fuzzy controller completes to control the load’s swing. In different stages of the trolley running, the improved position fuzzy controller, through auto-adjusting the quantization factors and scale factors, makes the trolley to arrive in12s, and the load to stabilize at the same time. The results of the disturbance experiments about the quality of the load, the length of the carrying rope and the initial swing show that the improved fuzzy control system solves the problem of oscillation in limit areas, eliminates the steady-state error, enhances the adaptivity of system, and achieve satisfactory control effect.Through simulation in this paper, this method successfully solves the problem of cranes positing and anti-swinging in theory, can be as technical basis to sovle the anti-swing problem in practice, and be extended to the general workshop.