Design of electronic stability control for rollover prevention using sliding mode control

Chen, Bo Chiuan; Yu, Cheng; Hsu, Wei-Tai; Lo, Min Fang

doi:10.1504/ijvd.2011.043269

Cited by 10 publications

(6 citation statements)

References 14 publications

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“…Single vehicle crashes resulted in up to 74% less fatalities in SUVs using ESC systems. This signifies the importance and efficacy of such systems and therefore a considerable research has focused on this area [15][16][17][18].…”

Section: Mathematical Problems In Engineeringmentioning

confidence: 99%

“…Rollover mitigation controller in [17] uses reference lateral position and its derivative as the tracking error which are found by integrating lateral acceleration corresponding to threshold LLTR. Chen et al [18] have proposed a sliding manifold using yaw rate following error, sideslip angle, and lateral acceleration. The controller exploits the yaw-roll coupling and differential braking is used as control input.…”

Section: Rollover Mitigation Controllermentioning

confidence: 99%

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Rollover Mitigation Controller Development for Three-Wheeled Vehicle Using Active Front Steering

Azim

Malik

Syed

2015

Mathematical Problems in Engineering

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Three-wheeled vehicles are agile, less complex, but relatively more prone to rollover. The current study focuses on the rollover mitigation control design using active front steering for such vehicles. A lateral load transfer ratio (LLTR) adapted for a three-wheeled platform is presented. Sliding mode control design strategy has been devised which results in pseudo-direct control for roll dynamics of the vehicle. The lag in vehicle roll angle response has been managed using adaptive sliding surface. This concept can be extended for other vehicle configurations. The proposed control scheme is investigated for efficacy using a full vehicle simulation model of CarSim software and National Highway Traffic Safety Administration’s proposed Fishhook maneuver. The controller is able to limit the rollover propensity even with vehicle parameter uncertainties.

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Section: Mathematical Problems In Engineeringmentioning

confidence: 99%

Section: Rollover Mitigation Controllermentioning

confidence: 99%

Rollover Mitigation Controller Development for Three-Wheeled Vehicle Using Active Front Steering

Azim

Malik

Syed

2015

Mathematical Problems in Engineering

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“…According to recent research [6], it is estimated that about 42% crashes might have been avoided if the vehicles were equipped with a warning system which could guide drivers to drive buses in an appropriate way before rollover arises. Prevention systems can be categorized as passive warning systems and active control uses a prediction algorithm to evaluate the threat of potential rollover based on the information of vehicle roll angle or lateral acceleration [7]; by contrast, an active control system directly controls the roll motion [8] and yaw motion of the vehicle [9,10].…”

Section: Introductionmentioning

confidence: 99%

Real-time bus rollover prediction algorithm with road bank angle estimation

Wang

et al. 2016

Chaos, Solitons & Fractals

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The bus rollover warning has achieved many progresses for researcher endeavors in the past decades. But these researches have not taken account for dynamic road bank. To fill up the gap, this paper presents a real-time rollover trend prediction to indicate bus rollover risk with road bank estimation. The prediction algorithm consists of a dynamic roll stability analysis, which is based on a suspended roll plane model, and a real-time warning velocity calculation. An estimator for the dynamic road bank and vehicle sideslip angle estimation using the dynamic simplex algorithm (DSA) is designed to take into account the influence of road bank on rollover trend. By comparing maximum stable lateral acceleration to the affordable lateral acceleration depending on the tire/road friction limit, a warning velocity is determined using the measurement of lateral acceleration and the estimate of instantaneous vehicle turning radius. The proposed rollover trend prediction algorithm is evaluated by TruckSim software. Simulation results show that the proposed warning velocity can represent the vehicle potential to resist rollover and give appropriate prediction of vehicle rollover crashes in typical scenarios.

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“…Considering the importance of yaw stability in a vehicle, research on the development of unwanted yaw rejection mechanisms has been conducted in both academic communities and automotive industries. [1][2][3] Various methods and actuators in yaw stability systems have been developed, such as the traction-control system, 4,5 anti-lock braking system, 6,7 four-wheel steering controls, [8][9][10][11] electronic stability program 12,13 and active front-wheel steering (AFS) system. 14 In an armored vehicle, unwanted yaw motion can be caused by the firing impulse acting on the center of the weapon platform.…”

Section: Introductionmentioning

confidence: 99%

Modeling, validation and firing-on-the-move control of armored vehicles using active front-wheel steering

Kadir

Hudha

Zamzuri

et al. 2015

Journal of Defense Modeling & Simulation

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It is a well-known fact that an armored vehicle will lose its directional stability when firing a large-caliber gun while moving. The instability is caused by the impulse force from firing, acting at the center of a weapons platform that produces a yaw moment at the center of gravity of the armored vehicle. In order to improve the stability, this paper introduces a firing-on-the-move technology for armored vehicles using an active front-wheel steering (AFS) system. The AFS system is proposed to maintain the directional stability of the armored vehicle by providing an electronically controlled correction to the steering mechanism. The steering correction is designed to reject the unwanted yaw motion and bring the vehicle back to its intended direction of travel after firing. The proposed control strategy of the AFS system in this study consists of yaw rate feedback with lateral force rejection control. The AFS system controller is developed on a validated 10-degrees-of-freedom armored vehicle. The results indicate that the developed control strategy can effectively maintain the directional stability, in terms of yaw and lateral motions, of the armored vehicle after firing. The superiority of the proposed AFS system controller is also evaluated by comparing its performance to an AFS system without lateral force rejection control as well as to a conventional armored vehicle without AFS.

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Design of electronic stability control for rollover prevention using sliding mode control

Cited by 10 publications

References 14 publications

Rollover Mitigation Controller Development for Three-Wheeled Vehicle Using Active Front Steering

Rollover Mitigation Controller Development for Three-Wheeled Vehicle Using Active Front Steering

Real-time bus rollover prediction algorithm with road bank angle estimation

Modeling, validation and firing-on-the-move control of armored vehicles using active front-wheel steering

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