Litcius/Paper detail

Active steering control for vehicle rollover risk reduction based on slip angle estimation

Ke Shao, Jinchuan Zheng, Bin Deng, Kang Huang, Han Zhao

2020IET Cyber-Systems and Robotics21 citationsDOIOpen Access PDF

Abstract

In this study, a robust controller is proposed for rollover risk suppression in automatically‐driven vehicles by reducing the lateral acceleration through a steer‐by‐wire system equipped on the vehicles. First, since the slip angle is difficult to measure directly, a sliding mode observer combining an add‐on switching term with a linear observer is developed to provide more robust estimation of slip angle in the presence of system uncertainties. Second, an adaptive sliding mode control method is proposed, in which the control gain is adaptively tuned to compensate for the system uncertainties. Lastly, simulation is conducted and the results verify that the proposed estimator and controller can reduce the vehicle rollover risk efficiently and robustly.

Topics & Concepts

Rollover (web design)Control theory (sociology)EstimatorSlip (aerodynamics)Observer (physics)Computer scienceSlip angleSliding mode controlController (irrigation)Vehicle dynamicsAccelerationActive steeringEngineeringSteering wheelAutomotive engineeringControl (management)MathematicsArtificial intelligenceNonlinear systemPhysicsStatisticsClassical mechanicsWorld Wide WebAgronomyAerospace engineeringQuantum mechanicsBiologyVehicle Dynamics and Control SystemsAgriculture and Farm SafetyMechanical Engineering and Vibrations Research