基于模糊神经网络的钳式吊大车行走力矩跟随控制系统

Load Equilibrium Control System for Tong Crane Cart Treading Based on Fuzzy Neural Networks

根据主机参数设计一个模糊神经网络控制器,利用模糊神经网络使从机的速度和力矩跟随主机,以实现主从跟随模式;根据设计参数进行仿真和运行,成功用于钳式吊控制系统。

This article explains the designing of a fuzzy neural network （FNN） controller on the basis of the mainframe parameters. The controller, using the FNN, makes it possible for the attendant machine＇ s speed and torque to follow those of the mainframe, thus realizing the master-slave follow-up mode. After the simulation and operation according to designing parameters, the controller has been successfully applied to the tong crane control system.