Vehicle roll stability control with active roll-resistant electro-hydraulic suspension

Xiao, Lan; Wang, Ming; Zhang, Bangji; Zhong, Zhihua

doi:10.1007/s11465-019-0547-9

Cited by 16 publications

(12 citation statements)

References 40 publications

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“…Active Suspension Control (ASC) system can adjust body posture and improve body stability by changing suspension actuation force. At present, there are many studies on vehicle active suspension control 3,[23][24][25] . Usually, the half vehicle model or sevendegrees-of-freedom(7-DOF) vehicle dynamic model considering roll degree of freedom are used as control reference models.…”

Section: Introductionmentioning

confidence: 99%

“…In the existing studies, to prevent vehicle rollover due to excessive roll angle, the vehicle roll angle near rollover is taken as the control limit. The commonly used control algorithms in ASC research are sliding mode control 3 , Linear Parameter Varying (LPV) feedforward control 23 , Model Predictive Control (MPC) control 24 , optimization control 25 .…”

Section: Introductionmentioning

confidence: 99%

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Multi-directional-motion-coupling-based Extreme Motion Control of Distributed Drive Autonomous Vehicle

Ding

Wang

Yang

et al. 2022

Preprint

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To improve the multi-directional motion control accuracy and driving stability of Distributed Drive Autonomous Vehicles (DDAVs) under extreme conditions, the extreme speed estimation method based on dynamic boundary and the motion control law design method based on vehicle multi-directional motion coupling dynamic model are proposed. The stable driving state of DDAVs is identified by the dynamic boundary composed of yaw rate, sideslip angle and roll angle, and then the extreme speed of stable driving is estimated. The eight-degrees-of-freedom(8-DOF) DDAVs vehicle dynamics model is used to design the control law of steering wheel angle, wheel torque and active suspension actuation force. Based on the above methods and sliding mode algorithm, the Multi-directional Motion Coupling Control System (MMCCS) of DDAVs is designed. The effectiveness of the proposed method is verified by double-line-shifting and serpentine driving simulations under different road adhesion conditions. The superiority of the method is proved by comparing the existing integrated control method.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multi-directional-motion-coupling-based Extreme Motion Control of Distributed Drive Autonomous Vehicle

Ding

Wang

Yang

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…The Active Suspension Control (ASC) system can adjust body posture and improve body stability by changing suspension actuation force. At present, there are many studies on vehicle active suspension control 3 , 23 – 25 . Usually, the half vehicle model or seven-degrees-of-freedom (7-DOF) vehicle dynamic model considering roll degree of freedom is used as control reference model.…”

Section: Introductionmentioning

confidence: 99%

Multidirectional motion coupling based extreme motion control of distributed drive autonomous vehicle

Wang

Yang

et al. 2022

Sci Rep

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To improve the multidirectional motion control accuracy and driving stability of Distributed Drive Autonomous Vehicles (DDAVs) under extreme conditions, the extreme speed estimation method based on dynamic boundary and the multidirectional motion coupling control law design method based on multi degrees of freedom vehicle dynamic model are proposed. The extreme speed estimation method identifies the stable state of DDAVs by the dynamic boundary composed of yaw rate, sideslip angle and roll angle, and then estimates the extreme speed of the vehicle. The design method of multidirectional motion coupling control law adopts eight-degrees-of-freedom (8-DOF) vehicle dynamic model to design path tracking control law, speed tracking control law, yaw stability control law, and active suspension control law at the same time, so as to realize multidirectional motion coupling control. Based on the above method, the Multidirectional Motion Coupling Control System (MMCCS) of DDAVs is designed. The effectiveness of the proposed method is verified by double-line-shifting and serpentine driving simulations under different road adhesion conditions. The superiority of the method is proved by comparing the existing integrated control method.

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“…Magalhães et al (2020) [20] proposed a new non-Hertzian contact approach to apply in railway vehicle simulations. Xiao et al (2020) [21] improved the roll stability of a road vehicle via an active roll control system based on electro-hydraulic suspension.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear impact of traction rod on the dynamics of a high-speed rail vehicle carbody

2020

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This research is concerned with bogie-carbody nonlinear dynamic interaction of a Shinkansen high-speed rail vehicle. The Euler-Bernoulli beam model is used to simulate vertical elastic vibrations of carbody. As a novelty, the traction rod that connects the bogie frame and the carbody is considered a nonlinear element. The equivalent linearization method is used to analyze the nonlinear vehicle system in the frequency domain. The analytical spectrum solution compared with the measured data from the running test and the numerical solution in the time domain. When the dynamic interaction due to the carbody's flexibility is considered as nonlinear rather than linear, the maximum amplitude of the bounce acceleration relevant to the first bending mode increases by 38.2 percent at the travel speed of 300 km/h. With the inclusion of the nonlinear interaction, ride comfort improvement is achievable. It is also feasible to manipulate the vehicle's ride comfort by altering its bogiebase.

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Vehicle roll stability control with active roll-resistant electro-hydraulic suspension

Cited by 16 publications

References 40 publications

Multi-directional-motion-coupling-based Extreme Motion Control of Distributed Drive Autonomous Vehicle

Multi-directional-motion-coupling-based Extreme Motion Control of Distributed Drive Autonomous Vehicle

Multidirectional motion coupling based extreme motion control of distributed drive autonomous vehicle

Nonlinear impact of traction rod on the dynamics of a high-speed rail vehicle carbody

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