Stability control of heavy vehicles

2017 ◽  
pp. 159-190
Author(s):  
Hocine Imine ◽  
Leonid Fridman
Keyword(s):  
Stability Control ◽  
Heavy Vehicles

Research on TTR and Roll Stability Control of Heavy Vehicle

2013 ◽  
Vol 380-384 ◽  
pp. 601-604
Author(s):  
Hong Yu Zheng ◽  
Yu Chao Chen
Keyword(s):  
Early Warning ◽  
Control Algorithm ◽  
Load Transfer ◽  
Reference Model ◽  
Stability Control ◽  
Heavy Vehicles ◽  
Lqr Control ◽  
Moment Distribution ◽  
Vehicle Rollover ◽  
The Moment

Because of the sensitive factors, such as the larger loads, higher mass center and relatively narrow tread in comparison with the height of heavy vehicles that have the poor dynamic rollover stability. This paper set of anti-rollover LQR control algorithm based on early warning. The model-based early rollover warning algorithm utilize the TruckSim® models and early warning reference model to predict the impeding vehicle rollover time in advance and told the driver the warning signals so that drivers had enough time to take appropriate measures to prevent vehicle rollover that called time to rollover (TTR), thereby greatly improving the vehicles active safety performance of the heavy vehicles. As to the anti-rollover LQR control algorithm, the principle was to use the optimal additional yaw moment obtained from the control algorithm and then made it reasonable impose the corresponding wheels by taking the moment distribution methods based on the differential braking for the purpose of reducing the risk of rollover. The simulation results show that the algorithm was presented in this paper can effectively reduce the lateral load transfer ratio and actively void the occurrence of rollover accidents.

Rollover Stability Control for Heavy Vehicles by Using LPV Model

2004 ◽  
Vol 37 (22) ◽  
pp. 673-678 ◽  
Author(s):  
Peter Gaspar ◽  
Istvan Szaszi ◽  
Jozsef Bokor
Keyword(s):  
Stability Control ◽  
Heavy Vehicles ◽  
Rollover Stability

A Study on Zero Assignment by Fault Tolerant Stability Control

2016 ◽  
Vol 136 (2) ◽  
pp. 143-156 ◽  
Author(s):  
Katsuhiko Fuwa ◽  
Tatsuo Narikiyo ◽  
Tatsushi Ooba
Keyword(s):  
Fault Tolerant ◽  
Stability Control

Development of Trunk Transmission Online Integrated Stability Control System (ISC) for New Generation Grid

2017 ◽  
Vol 137 (6) ◽  
pp. 434-445 ◽  
Author(s):  
Hiroshi Yoshida ◽  
Ryuji Tachi ◽  
Koya Takafuji ◽  
Hironori Imaeda ◽  
Masaru Takeishi ◽  
...  
Keyword(s):  
Control System ◽  
Stability Control ◽  
Stability Control System ◽  
New Generation

Development of On-line Integrated Stability Control System (ISC) for Long-distance Bulk Power Transmission

2013 ◽  
Vol 133 (4) ◽  
pp. 313-323 ◽  
Author(s):  
Kuniaki Anzai ◽  
Kimihiko Shimomura ◽  
Soshi Yoshiyama ◽  
Hiroyuki Taguchi ◽  
Masaru Takeishi ◽  
...  
Keyword(s):  
Control System ◽  
Power Transmission ◽  
Stability Control ◽  
Long Distance ◽  
Stability Control System ◽  
On Line ◽  
Bulk Power

An Analytical Transient Tire Model

2001 ◽  
Vol 29 (2) ◽  
pp. 108-132 ◽  
Author(s):  
A. Ghazi Zadeh ◽  
A. Fahim
Keyword(s):  
Transient Behavior ◽  
Stability Control ◽  
Vehicle Stability ◽  
Tire Model ◽  
Steering Angle ◽  
First Order ◽  
Vehicle Stability Control ◽  
Proposed Model ◽  
Depth Study ◽  
And Performance

Abstract The dynamics of a vehicle's tires is a major contributor to the vehicle stability, control, and performance. A better understanding of the handling performance and lateral stability of the vehicle can be achieved by an in-depth study of the transient behavior of the tire. In this article, the transient response of the tire to a steering angle input is examined and an analytical second order tire model is proposed. This model provides a means for a better understanding of the transient behavior of the tire. The proposed model is also applied to a vehicle model and its performance is compared with a first order tire model.

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