摘要
介绍了将模糊神经网络用于起重机电子防摇控制器和模糊神经网络的实现,以及如何利用MATLAB中的神经网络工具箱对模糊神经网络进行训练。并以MATLAB/SIMULINK为仿真平台建立了电子防摇控制仿真模型,经仿真表明该系统的抗干扰能力强,满足防摇控制系统的设计要求。
This paper covers application of fuzzy neural network （hereafter simply called FNN） in the anti-sway controller of crane. The design of FNN controller and how to train it by MATLAB are presented. Also an electronic anti - sway control model is built with MATLAB/SIMULIKN and simulation is conducted. The results show that such an anti - sway control system has strong anti- interference capability and satisfy the system design requirements.
出处
《起重运输机械》
北大核心
2005年第11期21-23,共3页
Hoisting and Conveying Machinery
