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基于复合神经网络模型的四轮独立驱动电动车控制
引用本文:沈勇,吴新文.基于复合神经网络模型的四轮独立驱动电动车控制[J].汽车工程,2004,26(4):458-460,475.
作者姓名:沈勇  吴新文
作者单位:同济大学汽车学院,上海,200092
摘    要:针对四轮独立驱动电动车的运动控制,提出了一种基于Ackerman转向模型和神经网络方法的复合模型,用于对各个车轮转速进行仿真和控制。这种复合模型的特点是结构非常精简,其参数可用实际整车数据来直接整定,尤其适合于车辆的中低速运行控制。

关 键 词:电动汽车  四轮独立驱动  复合模型  神经网络

Multiplex Neural Network Control of Four-wheel Drived Electric Vehicle
Abstract:In order to study the movement control of four-wheel drived electric vehicle,the paper presents a multiplex model which is based on Ackerman steering principle and neural network.The speed of each wheel could be simulated and controlled by this model .The characteristic of the multiplex model is simplified structure. The parameters from the model could be corrected straightly by the actual vehicle data.The simulation results is especially applicable when the speed is not too fast.
Keywords:Eleetric vehicle  Four-wheel driving  Multiplex model  Neural network
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