A Prediction Model for Vehicle Sideslip Angle based on Neural Network

摘要：

Sideslip angle is the most widely used attributes for measuring the vehicle side slipping.Predicting the trend of sideslip angle in advance is of great significance for sideslipping precaution.In this research,small-vehicle model was selected,took steering wheel angle,yaw rate,lateral acceleration and four wheel velocities into account,and then applied neural network to build a prediction model for the sideslip angle 0.5 second in advance.Through applying the model to predict the sideslip angle based on data stimulated by vel)YA,a vehicle dynamics stimulation software,and comparing to the observation of sideslip angle produced by veDYNA,it testified that the forecast model is highly accurate.

关键词： vehicle sideslip angle side slipping prediction non-linear region

作者: Xiaoping Du Huamei Sun Kun Qian Yun Li Liantao Lu

作者单位: College of Software Beihang University,Beijing,China

会议类型: 国际会议

会议名称: 2010 2nd IEEE International Conference on Information and Financial Engineering(2010年第二届IEEE信息与金融工程国际会议 ICIFE 2010)

会议地点: 重庆

会议语种:英文

页码: 451-455

在线出版日期: 2010-09-17（万方平台首次上网日期，不代表论文的发表时间）