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.

scholarly journals Investigations on Vehicle Rollover Prevention Using LQG Regulator

2014 ◽  
Vol 2014 ◽  
pp. 1-11
Author(s):  
Binda Mridula Balakrishnan ◽  
Marimuthu Rajaram
Keyword(s):  
Control Strategies ◽  
Stability Margin ◽  
Initial Investigation ◽  
Rollover Prevention ◽  
Contact Information ◽  
Vehicle Rollover ◽  
The Stability ◽  
And Control

This paper presents results of an initial investigation into vehicle roll model and control strategies suitable for preventing vehicle untripped rollovers. For vehicles that are deemed to be susceptible to wheel-liftoff, various control strategies are implemented in simulation. In this study, the authors propose a method for rollover prevention that does not require such accurate contact information. The validity of the stability margin is shown, and it is used to realize rollover prevention in the direction of the roll. The primary assumption in their implementation is that the vehicle in question is equipped with a conventional controller system.

Investigations on Vehicle Rollover Prevention Using Dead-Beat Controller

2014 ◽  
Vol 984-985 ◽  
pp. 656-665
Author(s):  
M.B. Binda ◽  
M. Rajaram
Keyword(s):  
Controller Design ◽  
Control Strategies ◽  
Open Loop ◽  
Loop Control ◽  
Rollover Prevention ◽  
Predictive Algorithms ◽  
Dynamics And Control ◽  
Vehicle Rollover ◽  
And Control ◽  
Wire System

This paper presents results of an initial investigation into models and control strategies suitable to predict and prevent vehicle rollover due to untripped driving maneuvers. Outside of industry, the study of vehicle rollover inclusive of experimental validation, model-based predictive algorithms, and practical controller design is limited. The researcher interested in initiating study on rollover dynamics and control is left with the challenging task of identifying suitable vehicle models from the literature, comparing these models in their ability to match experimental results, and determining suitable parameters for the models and controller gains. For vehicles that are deemed to be susceptible to wheel-lift, various open-loop control strategies are implemented in simulation. The primary assumption in their implementation is that the vehicle in question is equipped with a steer-by-wire system. Nomenclature

Differential steering-based electric vehicle lateral dynamics control with rollover consideration

2019 ◽  
Vol 234 (3) ◽  
pp. 338-348
Author(s):  
Hui Jing ◽  
Rongrong Wang ◽  
Cong Li ◽  
Jinxiang Wang
Keyword(s):  
Electric Vehicles ◽  
Measurement Problem ◽  
Low Cost ◽  
Steering System ◽  
Front Wheel ◽  
Steering Control ◽  
Lateral Velocity ◽  
Lateral Dynamics ◽  
Vehicle Rollover ◽  
Differential Steering

This article investigates the differential steering-based schema to control the lateral and rollover motions of the in-wheel motor-driven electric vehicles. Generated from the different torque of the front two wheels, the differential steering control schema will be activated to function the driver’s request when the regular steering system is in failure, thus avoiding dangerous consequences for in-wheel motor electric vehicles. On the contrary, when the vehicle is approaching rollover, the torque difference between the front two wheels will be decreased rapidly, resulting in failure of differential steering. Then, the vehicle rollover characteristic is also considered in the control system to enhance the efficiency of the differential steering. In addition, to handle the low cost measurement problem of the reference of front wheel steering angle and the lateral velocity, an [Formula: see text] observer-based control schema is presented to regulate the vehicle stability and handling performance, simultaneously. Finally, the simulation is performed based on the CarSim–Simulink platform, and the results validate the effectiveness of the proposed control schema.

Composite Nonlinear Feedback Control with Multi-objective Particle Swarm Optimization for Active Front Steering System

2015 ◽  
Vol 72 (2) ◽  
Author(s):  
Liyana Ramli ◽  
Yahaya Md. Sam ◽  
Zaharuddin Mohamed ◽  
M. Khairi Aripin ◽  
M. Fahezal Ismail
Keyword(s):  
Parameter Estimation ◽  
Particle Swarm Optimization ◽  
Nonlinear Feedback ◽  
Nonlinear Gain ◽  
Composite Nonlinear Feedback ◽  
Swarm Optimization ◽  
Vehicle Handling ◽  
Multi Objective ◽  
Yaw Rate ◽  
Active Front Steering

The purpose of controlling the vehicle handling is to ensure that the vehicle is in a safe condition and following its desire path. Vehicle yaw rate is controlled in order to achieve a good vehicle handling. In this paper, the optimal Composite Nonlinear Feedback (CNF) control technique is proposed for an Active Front Steering (AFS) system for improving the vehicle yaw rate response. The model used in order to validate the performance of controller is nonlinear vehicle model with 7 degree-of-freedom (DOF) and a bicycle model is implemented for the purpose of designing the controller. In designing an optimal CNF controller, the parameter estimation of linear and nonlinear gain becomes very important to produce the best output response. An intelligent algorithm is designed to minimize the time consumed to get the best parameter. To design an optimal method, Multi Objective Particle Swarm Optimization (MOPSO) is utilized to optimize the CNF controller performance. As a result, transient performance of the yaw rate has improved with the increased speed of in tracking and searching of the best optimized parameter estimation for the linear and the nonlinear gain of CNF controller.  

scholarly journals ANALYSIS OF VEHICLE LATERAL STABILITY ESTIMATING SUSPENSION CHARACTERISTICS ON THE SNOWY AND DRY ROAD / AUTOMOBILIO SKERSINIO STOVUMO ANALIZĖ VERTINANT PAKABOS CHARAKTERISTIKAS VAŽIUOJANT SNIEGUOTA IR SAUSA KELIO DANGA

2013 ◽  
Vol 5 (5) ◽  
pp. 558-564
Author(s):  
Vidas Žuraulis ◽  
Kristina Kemzūraitė ◽  
Loreta Levulytė
Keyword(s):  
Lateral Stability ◽  
Lateral Dynamics ◽  
Acceleration Mode

This paper analyzes the lateral dynamics of the vehicle withindependent suspension. The tests have been made driving inan incremental acceleration mode under conditions of a circulartrajectory within 10, 15 and 20-meter radius. The literature reviewprovides a summary of recent research re-lated to the topics discussedin this article. The article looks at the interaction of thesnowy and dry road with wheels and its influence on the lateraloscillation of a vehicle. The displacement of different sides ofvehicle suspension and its variation in acting lateral accelerationhave also been estimated. Data on the performed tests of theconducted research have been graphically plotted thus presentingthe summarized results and conclusions. Santrauka Straipsnyje analizuojama automobilio su nepriklausoma pakaba skersinė dinamika. Tyrimai atlikti važiuojant didėjančiu greičiu 10, 15 ir 20 m spindulio apskritimine trajektorija. Literatūros apžvalgoje pateikiama su straipsnio tematika susijusių naujausių tyrimų apžvalga. Analizuojama sausos bei snieguotos kelio dangos sąveika su ratais ir įtaka automobilio šoniniam svirimui. Įvertinama skirtingų automobilio pusių pakabos eigos ir jų kitimas veikiant skersiniam pagreičiui. Atliktų tyrimų duomenys vaizduojami grafiškai, rezultatai apibendrinami ir pateikiamos išvados.

Optimal Rollover Prevention With Steer by Wire and Differential Braking

2003 ◽  
Author(s):  
Christopher R. Carlson ◽  
J. Christian Gerdes
Keyword(s):  
Predictive Control ◽  
Stability Control ◽  
Roll Angle ◽  
Control Law ◽  
Control Structures ◽  
Yaw Rate ◽  
Rollover Prevention ◽  
Steer By Wire ◽  
Nonlinear Vehicle Model ◽  
Double Lane Change

This paper uses Model Predictive Control theory to develop a framework for automobile stability control. The framework is then demonstrated with a roll mode controller which seeks to actively limit the peak roll angle of the vehicle while simultaneously tracking the driver’s yaw rate command. Initially, control law presented assumes knowledge of the complete input trajectory and acts as a benchmark for the best performance any controller could have on this system. This assumption is then relaxed by only assuming that the current driver steering command is available. Numerical simulations on a nonlinear vehicle model show that both control structures effectively track the driver intended yaw rate during extreme maneuvers while also limiting the peak roll angle. During ordinary driving, the controlled vehicle behaves identically to an ordinary vehicle. These preliminary results shows that for double lane change maneuvers, it is possible to limit roll angle while still closely tracking the driver’s intent.

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