电机与控制应用2017，Vol.44Issue(3)：30-35,6.
基于Takagi-Sugeno模糊神经网络的电子差速控制系统
Electronic Differential Control System Based on Takagi-Sugeno Fuzzy Neural Network
摘要
Abstract
Independent control on wheel could be achieved in the electric vehicles driven by hub motors,which increased the flexibility of the vehicles as well as the requirement for motor control system.On the basis of the TakagiSugeno fuzzy neural network theory,the electronic differential control system driven by two hub motors was discussed.Compared the Simulink model of electronic differential control system built by MATLAB with actual road test,the feasibility of this design could be verified.The result indicated that differential rotation could be realized by this control system when steering.The rotating speed of the two hub motors met the requirement of Ackerman-Jeantand steering model and the error was controlled within the range of design.关键词
轮毂电机/模糊神经网络/电子差速控制系统Key words
hub motor/fuzzy neural network/electronic differential control system分类
信息技术与安全科学引用本文复制引用
陈永飞,雷良育,潘汉明..基于Takagi-Sugeno模糊神经网络的电子差速控制系统[J].电机与控制应用,2017,44(3):30-35,6.基金项目
萧山区产业发展重大科技攻关项目(2014110) （2014110）
