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基于神经网络的电涡流缓速器制动力矩特性研究
引用本文:王生发,潘敏,马力均.基于神经网络的电涡流缓速器制动力矩特性研究[J].农机化研究,2009,31(3).
作者姓名:王生发  潘敏  马力均
作者单位:1. 广东五邑大学,机电工程系,广东,江门,529020
2. 浙江大学,现代制造工程研究所,杭州,310027
基金项目:国家高技术研究发展计划(863计划) 
摘    要:针对电涡流缓速器在高速时计算力矩同电涡流缓速器的实际输出力矩存在较大偏差的缺点,提出了一种基于神经网络的电涡流缓速器制动力矩模型,研究了现有的电涡流缓速器控制系统,提出了基于神经网络的电涡流缓速器的PWM控制系统,通过实验说明了基于神经网络模型对实际制动力矩曲线的逼近效果非常有效.

关 键 词:电涡流缓速器  制动力矩  神经网络

Braking Torque Analysis of Eddy Current Retarder Based on Neural Network
Wang Shengfa,Pan Min,Ma Lijun.Braking Torque Analysis of Eddy Current Retarder Based on Neural Network[J].Journal of Agricultural Mechanization Research,2009,31(3).
Authors:Wang Shengfa  Pan Min  Ma Lijun
Institution:1.Department of Mechanical and Electric Engineering;Wu Yi University;Jiangmen 529020;China;2.Institute of Manufacturing Engineering;Zhejiang University;Hangzhou 310027;China
Abstract:Real output torque of eddy current retarder is compared at high velocity,the error of the mathematical model's computation torque is big. A braking torque model based on neural network model is proposed. The neural network model of eddy current retarder is established in terms of the braking torque's characteristics. The existing control system of eddy current retarder is studied and a novel PWM control system based on neural network model is proposed. The capability of neural network model is shown in term...
Keywords:eddy current retarder  braking torque  neural network  
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