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

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.