基于对角回归神经网络的电动加载系统  

The Motor-drive Loading System Based on Diagonal Recurrent Neural Network (DRNN)

作　　者：沈东凯[1] 王占林[1] 

机构地区：[1]北京航空航天大学自动控制系,北京100083

出　　处：《机床与液压》2002年第6期136-138,112,共4页Machine Tool & Hydraulics

摘　　要：在电动加载系统中 ,多余力干扰和其他非线性因素影响力矩跟踪精度 ,传统的控制器控制效果不是很理想。本文建立电动加载系统模型 ,分析多余力的产生机理 ,提出了基于对角回归神经网络补偿控制 ,其计算量小。通过仿真实验 。The disturbance of the extraneous force and the non-line factor have an effect on the precision of the torque tracking in the motor-driven loading system The effect of the conventional controller is not satisfied The paper establishes the model of motor-drive loading system, and analyses the extraneous force The compensated control based on Diagonal Recurrent Neural Network (DRNN) is proposed The simulation experimental result shows that the disturbance of the extraneous force is reduced in the motor-drive loading system

关 键 词：对角回归神经网络 电动加载系统 前馈补偿 PID控制 

分 类 号：TP271.4[自动化与计算机技术—检测技术与自动化装置] TP18[自动化与计算机技术—控制科学与工程]