ABS control using optimum search via sliding modes

Drakunov, S.; Özgüner, Ü.; Dix, P.; Ashrafi, B.

doi:10.1109/87.370698

Cited by 374 publications

(106 citation statements)

References 3 publications

Supporting

Mentioning

106

Contrasting

Order By: Relevance

“…Due to its robustness, sliding mode control (SMC) has increasingly been applied in vehicle traction control [14][15][16]. Drakunov et al [17] and Ünsal et al [18] applied SMC to maintain the wheel slip at any given value. Wen et al [19] presented an acceleration slip regulation strategy based on SMC.…”

Section: Introductionmentioning

confidence: 99%

Integrated Traction Control Strategy for Distributed Drive Electric Vehicles with Improvement of Economy and Longitudinal Driving Stability

Zhang

Göhlich

2017

Energies

View full text Add to dashboard Cite

This paper presents an integrated traction control strategy (ITCS) for distributed drive electric vehicles. The purpose of the proposed strategy is to improve vehicle economy and longitudinal driving stability. On high adhesion roads, economy optimization algorithm is applied to maximize motors efficiency by means of the optimized torque distribution. On low adhesion roads, a sliding mode control (SMC) algorithm is implemented to guarantee the wheel slip ratio around the optimal slip ratio point to make full use of road adhesion capacity. In order to avoid the disturbance on slip ratio calculation due to the low vehicle speed, wheel rotational speed is taken as the control variable. Since the optimal slip ratio varies according to different road conditions, Bayesian hypothesis selection is utilized to estimate the road friction coefficient. Additionally, the ITCS is designed for combining the vehicle economy and stability control through three traction allocation cases: economy-based traction allocation, pedal self-correcting traction allocation and inter-axles traction allocation. Finally, simulations are conducted in CarSim and Matlab/Simulink environment. The results show that the proposed strategy effectively reduces vehicle energy consumption, suppresses wheels-skid and enhances the vehicle longitudinal stability and dynamic performance.

show abstract

Section: Introductionmentioning

confidence: 99%

Integrated Traction Control Strategy for Distributed Drive Electric Vehicles with Improvement of Economy and Longitudinal Driving Stability

Zhang

Göhlich

2017

Energies

View full text Add to dashboard Cite

show abstract

“…Therefore, the ABS has become an attractive research area in nonlinear systems control framework. There are several works reported in the literature using the sliding mode technique, some examples are Tan and Chin [1991], Drakunov et al [1995], Unsal and Pushkin [1999], Hadri et al [2002], MingChin and Ming-Chang [2003].…”

Section: Introductionmentioning

confidence: 99%

A Sliding Mode Regulator for Antilock Brake System

Sánchez‐Torres

Loukianov

Galicia

et al. 2011

IFAC Proceedings Volumes

View full text Add to dashboard Cite

A Sliding Mode (SM) Regulator is proposed for an Antilock Brake System (ABS) control problem by employing Block Control SM and regulation concepts. This regulator has robustness against matched and unmatched perturbations, and the capability to estimate and incorporate the residual dynamics. Numeric simulations are carried on in order to verify the closed-loop system performance, where simulations predict the robustness of the ABS to matched and unmatched perturbations.

show abstract

“…This makes online estimation of forces and parameters difficult for vehicle control applications and detection and diagnosis for driving monitoring and surveillance (Rabhi et al, 2003). In Drakunov et al (1995), Canudas et al (2003) and Rabhi et al (2003), application of sliding mode control is proposed. Observers based on the sliding mode approach have been also used in Rabhi et al (2004a).…”

Section: Introductionmentioning

confidence: 99%

Second order sliding-mode observer for estimation of vehicle dynamic parameters

M'Sirdi

Rabhi

Fridman

et al. 2008

IJVD

View full text Add to dashboard Cite

This paper uses second-order sliding mode observers to build up an estimation scheme allowing to identify the tyre longitudinal equivalent stiffness and the effective wheel radius using the existing ABS angular sensors. This estimation strategy, based on use of the proposed observer could be used with data acquired experimentally to identify the longitudinal stiffness and effective radius of vehicle tyres. The actual results show effectiveness and robustness of the proposed method.

show abstract

ABS control using optimum search via sliding modes

Cited by 374 publications

References 3 publications

Integrated Traction Control Strategy for Distributed Drive Electric Vehicles with Improvement of Economy and Longitudinal Driving Stability

Integrated Traction Control Strategy for Distributed Drive Electric Vehicles with Improvement of Economy and Longitudinal Driving Stability

A Sliding Mode Regulator for Antilock Brake System

Second order sliding-mode observer for estimation of vehicle dynamic parameters

Contact Info

Product

Resources

About