农业机械学报2011，Vol.42Issue(12)：13-17,5,6.
基于神经网络逆系统方法的汽车底盘解耦控制
Vehicle Chassis Decoupling Control Based on Neural Network Inverse Method
摘要
Abstract
In order to eliminate the interference and coupling among automobile chassis electronic control subsystems, an integrated decoupling control approach based on neural network inverse method was proposed. The integration of active front steering ( AFS) , direct yaw moment control (DYC) and active suspension (ASS) was studied. According to Interactor algorithm, the reversibility of chassis system was analyzed and a BP neural network inverse system of the multivariable chassis system was obtained. Designing a close-loop controller and combining it with neural network inverse system, a compound controller was completed to improve dynamic performance. The simulation results showed that the proposed decoupling control approach could eliminate the interference and couple among automobile chassis electronic control subsystems, and improve the automobile handling and stability performance.关键词
汽车/底盘/解耦控制/神经网络/逆系统方法Key words
Automobile/ Chassis/ Decupling control/ Neural network/ Inverse method分类
交通工程引用本文复制引用
朱茂飞,陈无畏,夏光..基于神经网络逆系统方法的汽车底盘解耦控制[J].农业机械学报,2011,42(12):13-17,5,6.基金项目
国家自然科学基金资助项目(51075112、51175135) （51075112、51175135）
