NDLI: Real-time estimation and prediction of lateral stability of coaches: a hybrid approach based on EKF, BPNN, and online autoregressive integrated moving average algorithm

Content Provider	IET Digital Library
Author	Fu, Rui Zhang, Hailun Guo, Yingshi Yang, Fei Lu, Yuping
Abstract	This study aimed to develop a coach state estimation and prediction system to enhance driving safety. Different from existing vehicle stability estimation studies, the authors propose a hybrid method to estimate and predict the state of a coach in real time. First, the vehicle sideslip angle and yaw rate are estimated by a three-degrees-of-freedom vehicle model combined with an extended Kalman filter (EKF) estimation algorithm. Then, a steering system is established that replaces the front-wheel angle with the steering wheel input torque. Next, a seven-degrees-of-freedom vehicle model analyses the effects of various driving influencing factors on the vehicle sideslip angle and the boundary of the stable region of the phase plane of the vehicle sideslip angle rate, and a boundary value parameter database is obtained. A back propagation neural network (BPNN) model is then established to obtain the boundary function parameter values under multifactor coupling conditions. Furthermore, an online prediction of the steering wheel input torque in a time series is done, and the prediction value is input to the steering system and neural network model. The effectiveness of the proposed method was evaluated via simulations based on MATLAB/Simulink and TruckSim software.
Starting Page	1892
Ending Page	1902
Page Count	11
ISSN	1751956X
Volume Number	14
e-ISSN	17519578
Issue Number	Issue 13, Dec (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-its/14/13
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-its.2020.0385
Journal	IET Intelligent Transport Systems
Publisher Date	2020-12-14
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Autoregressive Moving Average Processes Backpropagation Boundary Function Parameter Values Boundary Value Parameter Database BPNN Coach State Estimation Driving Influencing Factors Driving Safety EKF Extended Kalman Filter Estimation Algorithm Front-wheel Angle Hybrid Approach Hybrid Method Kalman Filter Mechanical Component Neural Computing Technique Neural Nets Nonlinear Filter Online Autoregressive Integrated Moving Average Algorithm Online Prediction Prediction System Prediction Value Propagation Neural Network Model Road Safety Road Traffic System Control Road Vehicle Seven-degrees-of-freedom Vehicle Model Analysis Stability State Estimation Statistics Steering System Steering Wheel Input Torque Three-degrees-of-freedom Vehicle Model Time Estimation Time Series Vehicle Dynamics Vehicle Mechanics Vehicle Sideslip Angle Rate Vehicle Stability Estimation Studies Wheels Yaw Rate
Content Type	Text
Resource Type	Article
Subject	Law Transportation Environmental Science Mechanical Engineering

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