An Integrated Control Algorithm of ABS and DYC for Emergency Braking on a &amp;#x00B5;-Split Road

Feng, Chong; Ding, Ning; He, Yangkun

doi:10.1109/iccect.2012.95

Cited by 7 publications

(8 citation statements)

References 5 publications

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“…Ding et al (2017) proposed DYC control strategies by using sliding mode (SM) and nonlinear disturbance observer (NDOB) techniques, and in order to tackle the chattering problem existing in the traditional SM controller, a second-order sliding mode (SOSM) controller was further designed by taking the derivative of the controller as the new control. Feng et al (2012) developed an integrated control algorithm of antilock brake system (ABS) and DYC to maximize the utilization of road friction while maintaining directional stability of the vehicle during urgent braking progress on a μ -split road. Yue et al (2013) built an eight-degree of freedom dynamic vehicle model, and proposed a differential braking control strategy based on proportional–integral–derivative (PID) under four typical working conditions.…”

Section: Introductionmentioning

confidence: 99%

Stability control of in-wheel motor electric vehicles under extreme conditions

Zhao

Wang

Zhang

2018

Transactions of the Institute of Measurement and Control

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To investigate the stability of in-wheel motor electric vehicles (IWMEVs) under extreme conditions, a novel control strategy including active rear steering (ARS) mode and direct yaw moment control (DYC) mode is proposed in this paper, utilizing the adaptive dynamic neural network (ADNN) algorithm to make the most of the two control modes. Firstly, a three-degree of freedom nonlinear vehicle model as well as some subsystems is established. Then, a two-layer stability control strategy is put forward, where the upper-layer calculates the desired rear steering angle as well as the differential torque of the rear wheels and the lower-layer executes commands and returns relevant signals. Besides, a stability controller based on ADNN algorithm is designed in the upper-layer so as to take advantage of the two modes under extreme conditions. Next, the impacts of initial values of the connection weights on the ability of ADNN algorithm to train and learn are revealed. Consequently, the optimal initial values can be ascertained before the following simulations. Finally, the closed loop simulations of ARS and DYC are carried out under some extreme conditions such as high velocity and low adhesion coefficient roads, and the results indicate that compared with DYC’s difficulty in playing its role, ARS mode can significantly improve the stability of IWMEVs even under extreme conditions.

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Section: Introductionmentioning

confidence: 99%

Stability control of in-wheel motor electric vehicles under extreme conditions

Zhao

Wang

Zhang

2018

Transactions of the Institute of Measurement and Control

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“…Several studies in the literature proposed integrating Direct Yaw-Moment Control (DYC), which involves an external yaw moment through differential braking to coordinate with ABS for directional stability. Although researchers have examined lateral stability with an integrated DYC and ABS to evaluate performance on split-friction roads [8], [9], only a few studies focused on combined cornering and braking maneuvers.…”

Section: A Electronic Stability Control In the Literaturementioning

confidence: 99%

Direct Yaw-Moment Control Integrated With Wheel Slip Regulation for Heavy Commercial Road Vehicles

et al. 2022

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When a road vehicle is subjected to combined cornering and emergency braking, it potentially has a greater risk of wheel lock followed by loss of steerability and/or undesired yaw motion. While an Antilock Braking System (ABS) is mandatory in many countries to avoid wheel lock, more attention is required to its combined cornering and braking performance. This paper aims to design a Direct Yaw-Moment Controller (DYC) integrated with ABS to achieve vehicle directional stability for Heavy Commercial Road Vehicles (HCRVs). This study implements a robust reaching law-based sliding mode controller for DYC and ABS. The developed algorithm was evaluated in a Hardware-in-Loop (HiL) setup. The experimental results are compared for the integrated algorithm and standalone ABS algorithms. The proposed algorithm improved the Directional Performance Index (DPI) in the range of 29% to 84% over the open-loop behavior while maintaining vehicle stability. Moreover, it also improved the DPI in the range of 5% to 53% over standalone ABS in various emergency test cases.INDEX TERMS Anti-lock braking system, differential braking, direct yaw-moment control, electronic stability control, pneumatic brakes, sliding mode control This article has been accepted for publication in IEEE Access.

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“…The longitudinal force is assumed to be proportional to vertical load if the lockup of the tire does not happen. When understeer, the allocation rules between middle-axle tires and rear-axle tires are given by (17) M r = ΔM ⋅ F zr F zm + F zr (18) where the M m , M r are the stabilising yaw moment allocated to middle-axle and rear-axle wheels, respectively. F zm , F zr are the vertical loads of middle and rear wheels, respectively.…”

Section: Dyc Controllermentioning

confidence: 99%

“…In addition, because of major braking control improvement in ABS, coordinated control of DYC and ABS were considered in many types of research. An integrated control algorithm that includes a second-order sliding mode controller for DYC and a slip ratio threshold controller for ABS was developed by Feng, and the 2-DOF model was used [17]. An ABS/DYC, coordinated control scheme, was proposed by Wang, the 7-DOF vehicle model was adopted, and sliding mode control was used in both ABS and DYC [18].…”

Section: Introductionmentioning

confidence: 99%