Objective Measurement of Vehicle Steering and Handling Performance When a Tire Loses Its Air

Tandy, Donald F.; Ault, B. Nicholas; Colborn, Jason; Pascarella, Robert

doi:10.4271/2013-01-0748

Cited by 13 publications

(6 citation statements)

References 7 publications

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“…Despite the tire pressure monitoring systems have been equipped with most of the vehicle along with the practice of relevant laws and regulations [20], these only play the role of warning driver and cannot prevent tire blowout. To this end, more and more researchers have devoted to designing and developing the active control method for the vehicle after tire blowout based on the acquired tire pressure information [21,22].…”

Section: Literature Reviewmentioning

confidence: 99%

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RBFNN based terminal sliding mode adaptive control for electric ground vehicles after tire blowout on expressway

Yang

Yue

Liu

et al. 2020

Applied Soft Computing

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This paper proposes a radial basis function neural network (RBFNN) based terminal sliding mode control scheme for electric ground vehicles subject to tire blowout on expressway in presence of tire nonlinearities, unmodeled dynamics and external disturbances. For enhancing the longitudinal and lateral stability of the vehicle after tire blowout, a saturated velocity planner is firstly constructed for tracking the original motion trajectory, by which the longitudinal velocity and yaw rate saturation constraints can be effectively handled. Afterwards, a terminal sliding mode controller (TSMC) is designed for tracking the planned velocity signals because of its inherent finite time convergence rate and superior steady-state property, by which the adverse dynamic behaviors can be timely suppressed. Further, to strengthen the adaptability and robustness of the control scheme, a RBFNN approximator is developed for identifying the lumped uncertainty, such as tire nonlinearities, unmodeled dynamics and external disturbances, etc., and then compensated into the controller. Lastly, simulations with front-right tire blowout on expressway are performed to validate the effectiveness and efficiency of presented control scheme and methods, and the comprehensive performance of TSMC+RBFNN and TSMC schemes in maintaining original trajectory tracking capacity is evaluated and discussed.

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Section: Literature Reviewmentioning

confidence: 99%

“…Theorem 1. For the system (12), if the terminal sliding manifold is chosen as (22), and the controller is designed as ( 23), then tracking error will converge to zero in a finite time.…”

Section: Tsmc Tracking Controllermentioning

confidence: 99%

RBFNN based terminal sliding mode adaptive control for electric ground vehicles after tire blowout on expressway

Yang

Yue

Liu

et al. 2020

Applied Soft Computing

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show abstract

“…It is argued that the tyre deflation greatly affects cornering stiffness, radial tyre stiffness and rolling resistance [5,7]. In [8], actual experiments on 26 vehicles were carried out to study the vehicles' dynamic response to tyre blow-outs. The experiment results suggested that the increased rolling resistance of deflated tyres could generate longitudinal drag force and cause additional yaw moment to pull the vehicle away from the original path.…”

Section: Introductionmentioning

confidence: 99%

“…Similarly, Wang et al proposed a non-linear coordinate motion controller for the vehicle after tyre deflation by assuming the rolling resistance increased 30 times and the cornering stiffness reduced to 28% of the original value [9]. In addition, when a tyre blow-out happens, at the steering wheel more steering input is required to compensate for the increased total alignment moment caused by the deflated tyre [8], and the steering controller needs to be redesigned, for instance, with the human-machine adaptive shared control [10]. However, the steering control system design is not focused on in this study.…”

Section: Introductionmentioning

confidence: 99%

A Three-Dimensional Integrated Non-Linear Coordinate Control Framework for Combined Yaw- and Roll-Stability Control during Tyre Blow-Out

Huang

et al. 2021

Sensors

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A tyre blow-out can greatly affect vehicle stability and cause serious accidents. In the literature, however, studies on comprehensive three-dimensional vehicle dynamics modelling and stability control strategies in the event of a sudden tyre blow-out are seriously lacking. In this study, a comprehensive 14 degrees-of-freedom (DOF) vehicle dynamics model is first proposed to describe the vehicle yaw-plane and roll-plane dynamics performance after a tyre blow-out. Then, based on the proposed 14 DOF dynamics model, an integrated control framework for a combined yaw plane and roll-plane stability control is presented. This integrated control framework consists of a vehicle state predictor, an upper-level control mode supervisor and a lower-level 14 DOF model predictive controller (MPC). The state predictor is designed to predict the vehicle’s future states, and the upper-level control mode supervisor can use these future states to determine a suitable control mode. After that, based on the selected control mode, the lower-level MPC can control the individual driving actuator to achieve the combined yaw plane and roll plane control. Finally, a series of simulation tests are conducted to verify the effectiveness of the proposed control strategy.

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“…To begin with, the greatest challenge comes from vehicle system stability control, which covers the lateral and longitudinal stability control for the vehicle with tire blowout in the freeway. As the fundamental performance, vehicle lateral stability control has been widely investigated via applying conventional electronic stability program and lane keeping control techniques; see Blythe et al (1998); Prochowski et al (2015); Tandy et al (2013); Bäcker et al (2017); Jin et al (2018); and Wang et al (2016a). For example, Bäcker et al (2017) reported a simulation case to imitate a tire inflation pressure loss and its consequences for the vehicle stability, and electric stability controller was designed to assure vehicle lateral stability after tire blowout.…”

Section: Introductionmentioning

confidence: 99%

Tire blow-out control for direct drive electric vehicles using reconfiguration of torque distribution and vertical load

Yang

Yue

Tian

et al. 2020

Transactions of the Institute of Measurement and Control

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This paper proposes a composite stability control strategy for tire blowout electric vehicle with explicit consideration of vertical load redistribution, subject to multi-constraints, uncertainty and redundant actuation. To readily implement system state and actuator increment constraints, a model predictive controller is designed to enhance vehicle stability performance and original lane keeping. Meanwhile, a sliding mode control-based longitudinal velocity controller is collaboratively proposed for maintaining the original longitudinal velocity after tire blowout in the freeway, which can reduce considerably the rear-end collision accidents. After that, a constrained weighting least square-based reconfigurable torque distributor is developed to realize the tracking of the virtual resultant yaw-moment and longitudinal tire force signals generated by the above controllers, considering system physical constraints and actuator capability simultaneously. Simulations with different tire blowout scenarios are conducted on the developed dynamic simulation platform to demonstrate the effectiveness of the designed control methods; furthermore, the influence of different tire blowout on the vehicle movement behaviors is discussed. Statistical results based on the system transient performance and control effort evaluating indictors highlight the considerable superiority of the developed model predictive controller compared with the linear quadratic regulator.

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Objective Measurement of Vehicle Steering and Handling Performance When a Tire Loses Its Air

Cited by 13 publications

References 7 publications

RBFNN based terminal sliding mode adaptive control for electric ground vehicles after tire blowout on expressway

RBFNN based terminal sliding mode adaptive control for electric ground vehicles after tire blowout on expressway

A Three-Dimensional Integrated Non-Linear Coordinate Control Framework for Combined Yaw- and Roll-Stability Control during Tyre Blow-Out

Tire blow-out control for direct drive electric vehicles using reconfiguration of torque distribution and vertical load

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