汽车牵引力控制系统神经网络控制算法  

Research on Neural Network Control Algorithm of Traction Control System for Automobiles

作　　者：李静[1] 张家财[1] 马志敏 

机构地区：[1]吉林大学汽车工程学院 [2]浙江亚太机电股份有限公司工程师

出　　处：《农业机械学报》2006年第12期20-23,共4页Transactions of the Chinese Society for Agricultural Machinery

摘　　要：为获得汽车TCS自适应控制算法,应用神经网络算法设计了发动机油门位置和驱动轮制动压力控制器。应用自制的硬件在环试验平台对上述算法进行了调试。结果表明,汽车TCS神经网络控制算法能根据环境条件自适应地调整控制量,有效消除驱动轮过度滑转,使汽车具有良好的加速性和适应性。To obtain adaptive control algorithm of traction control system for automobile, neural network was used to devise engine throttle position controller and brake pressure controller of driving wheels. A hardware-in-the-loop test bench was developed and was applied in debugging the algorithms that had been mentioned previously. The results showed that the algorithms could adjust control quantity adaptively according to the circumstance, eliminate excessive slip of driving wheel and make automobile acquire better accelerating performance and adaptability.

关 键 词：车辆 牵引力控制系统 神经网络 硬件在环仿真 

分 类 号：U463.54[机械工程—车辆工程]