A Novel Active Rollover Prevention for Ground Vehicles Based on Continuous Roll Motion Detection

2018 ◽  
Vol 141 (1) ◽  
Author(s):  
Fengchen Wang ◽  
Yan Chen
Keyword(s):  
Motion Detection ◽  
Hierarchical Control ◽  
Roll Motion ◽  
Ground Vehicles ◽  
Rollover Prevention ◽  
Hierarchical Control Architecture ◽  
Center Position ◽  
Vehicle Rollover ◽  
Lift Off ◽  
The Given

To enhance the performance of vehicle rollover detection and prevention, this paper proposes a novel control strategy integrating the mass-center-position (MCP) metric and the active rollover preventer (ARPer) system. The applied MCP metric can provide completed rollover information without saturation in the case of tire lift-off. Based on the continuous roll motion detection provided by the MCP metric, the proposed ARPer system can generate corrective control efforts independent to tire–road interactions. Moreover, the capability of the ARPer system is investigated for the given vehicle physical spatial constraints. A hierarchical control architecture is also designed for tracking desired accelerations derived from the MCP metric and allocating control efforts to the ARPer system and the active front steering (AFS) control. Cosimulations between CarSim® and MATLAB/SIMULINK with a fishhook maneuver are conducted to verify the control performance. The results show that the vehicle with the assistance of the ARPer system can successfully achieve better performance of vehicle rollover prevention, compared with an uncontrolled vehicle and an AFS-controlled vehicle.

Detection of Vehicle Tripped and Untripped Rollovers by a Novel Index With Mass-Center-Position Estimations

2017 ◽  
Author(s):  
Fengchen Wang ◽  
Yan Chen
Keyword(s):  
Load Transfer ◽  
Center Of Mass ◽  
Roll Motion ◽  
Mass Center ◽  
Motion Models ◽  
Center Position ◽  
Before And After ◽  
Vehicle Rollover ◽  
Lift Off ◽  
Rollover Index

This paper presents a novel mass-center-position (MCP) metric for vehicle rollover propensity detection. MCP is first determined by estimating the positions of the center of mass of one sprung mass and two unsprung masses with two switchable roll motion models, before and after tire lift-off. The roll motion information without saturation can then be provided through MCP continuously. Moreover, to detect completed rollover statues for both tripped and untripped rollovers, the criteria are derived from d’Alembert principle and moment balance conditions based on MCP. In addition to tire lift-off, three new rollover statues, rollover threshold, rollover occurrence, and vehicle jumping into air can be all identified by the proposed criteria. Compared with an existing rollover index, lateral load transfer ratio, the fishhook maneuver simulation results in CarSim® for an E-class SUV show that MCP metric can successfully predict the vehicle impending rollover without saturation for untripped rollovers. Tripped rollovers caused by a triangle road bump are also successfully detected in the simulation. Thus, MCP metric can be successfully applied for rollover propensity prediction.

Roll Stability Indicator Incorporating Roll Center Movement

2007 ◽  
Author(s):  
Jongchul Jung ◽  
Taehyun Shim ◽  
Jamie Gertsch
Keyword(s):  
Parameter Identification ◽  
Threshold Value ◽  
Vertical Movement ◽  
Roll Angle ◽  
Roll Motion ◽  
Identification Algorithm ◽  
Simple Task ◽  
Rollover Prevention ◽  
Vehicle Rollover ◽  
Robust Parameter

Predicting impending vehicle rollover is essential for rollover prevention systems but it is not a simple task. In describing roll motion, the roll center movement becomes important as the vehicle roll angle increases, and thus affects the performance of rollover warning devices. This paper proposes a dynamic roll stability indicator incorporating roll center movement. A robust parameter identification algorithm is designed to estimate the horizontal and vertical movement of the roll center. This estimate is used in the roll stability indicator to update its rollover threshold value. The effectiveness of the proposed roll stability indicator is demonstrated through simulations.

A Control Architecture for Mission Re-Planning and Plan Repair of AUV

2013 ◽  
Vol 462-463 ◽  
pp. 794-797
Author(s):  
Ru Bo Zhang ◽  
Hai Bo Tong ◽  
Chang Ting Shi
Keyword(s):  
Autonomous Underwater Vehicle ◽  
Hierarchical Control ◽  
Underwater Vehicle ◽  
Control Architecture ◽  
Real Word ◽  
Simulation Environment ◽  
Hierarchical Control Architecture ◽  
Planning Task ◽  
And Behavior ◽  
Influence Degree

This paper present a hybrid, hierarchical control architecture for mission re-planning and plan repair of autonomous underwater vehicle (AUV) navigating in dynamic and uncertain marine environment. The proposal carries out a component-oriented part-based control architecture structured in three parts: situation reasoning, re-planning trigger and hierarchical re-planning layer. Situation reasoning using the unstructured real-word information obtained by sorts of sensor detectes and recognizes uncertain event. According the event types and influence degree, the re-planning trigger decides the re-planning level. Hierarchical re-planning layer contains mission re-planning, task re-planning and behavior re-planning. Different re-planning level depends on the result of re-planning trigger. Preliminary versions of the architecture have been integrated and tested in a marine simulation environment.

Vehicle Rollover Prevention Through a Novel Active Rollover Preventer

2017 ◽  
Author(s):  
Fengchen Wang ◽  
Yan Chen
Keyword(s):  
Control Strategies ◽  
Lateral Stability ◽  
Nonlinear Controller ◽  
Lateral Dynamics ◽  
Yaw Rate ◽  
Rollover Prevention ◽  
Active Front Steering ◽  
Mechanics Analysis ◽  
Vehicle Rollover ◽  
Braking Control

To assist vehicle rollover prevention and enhance vehicle roll motion safety, this paper proposes a novel active rollover preventer (ARPer) system, which consists of an in-wheel motor system moving along an orbit at the back of a vehicle. The roll and lateral dynamics of the vehicle equipped with the ARPer are modeled and mechanics analysis of the ARPer is presented as well. Based on the developed models, a Lyapunov nonlinear controller is designed for tracking a desired roll angle and a yaw rate when the impending rollover is detected. For a typical fishhook maneuver, two simulation cases are studied for different vehicle roof cargo loads, which represents different vehicle rollover properties without control. The CarSim®-Simulink co-simulation results show that compared with active front steering and differential braking control strategies, the APRer can successfully prevent the rollover propensity and maintain the vehicle lateral stability simultaneously.

Task-oriented hierarchical control architecture for swarm robotic system

2016 ◽  
Vol 16 (4) ◽  
pp. 579-596 ◽  
Author(s):  
Yuquan Leng ◽  
Cen Yu ◽  
Wei Zhang ◽  
Yang Zhang ◽  
Xu He ◽  
...  
Keyword(s):  
Hierarchical Control ◽  
Robotic System ◽  
Control Architecture ◽  
Hierarchical Control Architecture ◽  
Task Oriented
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