抓斗挖泥船平挖的智能控制及仿真  

Intelligent control and simulation for flat-digging of grab dredger

作　　者：欧阳辉[1] 肖汉斌[1] 严怀余 路世青[1] 

机构地区：[1]武汉理工大学,武汉430063

出　　处：《起重运输机械》2014年第5期10-13,共4页Hoisting and Conveying Machinery

基　　金：国家"863"高技术研究发展计划基金(2012AA112603)

摘　　要：设计了一种基于模糊神经网络的PID控制器,将其运用到大型抓斗挖泥船平挖控制系统中。该系统建立一个两输入三输出的模糊神经网络,并提供样本进行自学习。在Simulink中对基于模糊神经网络的PID控制系统和常规PID控制系统进行平挖运动仿真,结果表明,与常规控制相比,该网络能使系统的响应更为迅速,超调量小,鲁棒性强。PID controller is designed in this study based on fuzzy neural network,which is applied to the control sys-tem of large-scale grab dredgers.The 2-input 3-output fuzzy neural network is built in the system,provided with specimens for self-study.The flat-digging motion simulation is performed for PID control system based on fuzzy neural network and normal PID control system in Simulink.The result shows that this network can provide faster response,smaller overshoot, and strong robustness,compared with the normal control system.

关 键 词：抓斗挖泥船 模糊神经网络 自学习 MATLAB仿真 

分 类 号：U615.351[交通运输工程—船舶及航道工程] TP273.5[交通运输工程—船舶与海洋工程]