基于BP神经网络的EPS助力特性研究  

Study on the Power Assist Characteristic of EPS Based on BP Neural Network

作　　者：沈斌[1] 任莎莎[1] 

机构地区：[1]同济大学中德学院,上海200092

出　　处：《机电一体化》2012年第9期31-34,77,共5页Mechatronics

摘　　要：提出了基于BP神经网络优化算法计算任意车速下方向盘扭矩与电机助力电流的非线性关系的方法。对基于BP神经网络优化算法的EPS系统控制策略和算法进行了深入研究。通过分析车辆和驾驶员对转向控制的要求和特点,获得了汽车车速和方向盘扭矩二输入下的EPS的助力特性,对研究汽车转向系统助力特性具有实际应用价值和直接指导意义。Based on BP neural network, brought forward to calculate the nonlinear relationship between the steering wheel torque and motor power assist torque at any the speed of vehicle. EPS system control strategy and algorithm optimization algorithm based on BP neural network has conducted in-depth research, according to analysis of steering control requirements and characteristics of vehicle and driver, obtained the power assist characteristic of EPS under the two input of the vehicle speed and steering wheel torque, it has practical application value and significance to study the power assist characteristic of EPS.

关 键 词：BP神经网络 EPS 助力特性 

分 类 号：U463.4[机械工程—车辆工程] TP183[交通运输工程—载运工具运用工程]