A comparative study of two control schemes for anti-lock braking systems

John, Samuel; Pedro, Jimoh O.

doi:10.1109/ascc.2013.6606061

Cited by 5 publications

(4 citation statements)

References 22 publications

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“…For the constraint s(t) ≤ s max , it should be ensured that bv stable ≤ s max . Therefore, b ≤ u max /v stable , and the maximum deceleration value for a vehicle is 10 m/s 2 [38].…”

Section: B the Performance Of The Proposed Rsd Algorithmmentioning

confidence: 99%

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Reducing the Standstill Spacing and Duration of Safe Braking Control in Vehicle Platoons With Delays

Meng

Wang

2020

IEEE Access

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Braking control, especially in an emergency, is a key technology that is needed to ensure safety in vehicle platoons. However, delays in vehicle platoons can severely affect braking control. This paper proposes an optimized braking control to reduce the standstill spacing and braking duration during delays so that a platoon will stop within a short time frame with a reduced length, thus improving road utilization while ensuring both inter-vehicle and in-vehicle safety. However, two challenges need to be addressed. First, due to the delay in car-following interactions and the nonlinearity of the control law, an analysis model is needed to quantize the duration and distance during an emergency braking with delays. Second, the optimization of these control parameters is an NP-hard problem. Therefore, delay differential equations are introduced to model the braking process, and a crossing criterion is introduced to establish the relationship between the control law and the braking process. The propositions of standstill spacing and braking duration are then derived based on the Runge-Kutta method. According to these criteria, a particle swarm optimization (PSO) based on a lexicographic method with a penalty function is introduced to provide a solution framework with polynomial complexity. Simulation results verify the accuracy of the braking modeling process. Moreover, the results verify the performance of the proposed algorithm and provide a reference for platoon control.

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“…For the constraint s(t) ≤ s max , it should be ensured that bv stable ≤ s max . Therefore, b ≤ u max /v stable , and the maximum deceleration value for a vehicle is 10 m/s 2 [38].…”

Section: B the Performance Of The Proposed Rsd Algorithmmentioning

confidence: 99%

“…a ij f nj (38) Note that S(t ni − τ ) denotes the approximate, not the exact, value of y(t ni − τ ). Thus, S(t ni − τ ) is different from y(t ni − τ ).…”

Section: Appendix Appendix a Proof Of Propositionmentioning

confidence: 99%

Reducing the Standstill Spacing and Duration of Safe Braking Control in Vehicle Platoons With Delays

Meng

Wang

2020

IEEE Access

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“…Analyzing the nonlinearities using the describing function approach, a feedback compensator based anti-skid system is proposed in [20]. The inadequacies of a simple commercially available bang-bang controller are highlighted in [21], which proposes a neural network based controller. A fuzzy logic based ABS which does not require a precise model is developed in [22], where the effect of ABS on extending the life of tires is investigated.…”

Section: Introductionmentioning

confidence: 99%

Uncertainty-Estimation-Based Approach to Antilock Braking Systems

Patil

Ginoya

Shendge

et al. 2016

IEEE Trans. Veh. Technol.

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Two new strategies based on uncertainty estimation are proposed for anti-lock braking systems. In one of the strategies, the uncertainties and the disturbances are estimated using inertial delay control and the estimates are used in a backstepping control based braking system. In the other strategy, in addition to uncertainties, the states are also estimated using an inertial delay observer for a sliding mode control based braking system. No knowledge of uncertainties, disturbances and the road adhesion friction coefficient or their bounds is assumed. The stability of the overall system is proved and the schemes are validated by simulation and experimentation in laboratory.Index Terms-Anti-lock braking systems, sliding mode control, backstepping controller, inertial delay control, inertial delay observer, mismatched systems.

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“…Earlier works on this kind of setup are mainly based on the assumption that information of all sensors is available for measurement. Some articles discuss the use of controllers with comparative (linear and nonlinear) control techniques as in [11][12][13]. In [14][15][16][17][18], control strategies based on slidingmode analysis are analyzed.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Control Applied to a Laboratory Antilock Braking System

Lúa

Toledo

Gennaro

et al. 2015

Mathematical Problems in Engineering

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The control of an antilock braking system is a difficult problem due to the existence of nonlinear dynamics and uncertainties of its characteristics. To overcome these issues, in this work, a dynamic nonlinear controller is proposed, based on a nonlinear observer. To evaluate its performance, this controller has been implemented on an ABS Laboratory setup, representing a quarter car model. The nonlinear observer reconstructs some of the state variables of the setup, assumed not measurable, to establish a fair benchmark for an ABS system of a real automobile. The dynamic controller ensures exponential convergence of the state estimation, as well as robustness with respect to parameter variations.

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A comparative study of two control schemes for anti-lock braking systems

Cited by 5 publications

References 22 publications

Reducing the Standstill Spacing and Duration of Safe Braking Control in Vehicle Platoons With Delays

Reducing the Standstill Spacing and Duration of Safe Braking Control in Vehicle Platoons With Delays

Uncertainty-Estimation-Based Approach to Antilock Braking Systems

Dynamic Control Applied to a Laboratory Antilock Braking System

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