Sliding Mode Control of Vehicle Equipped with Brake-by-Wire System considering Braking Comfort

Chen, Shuai; Zhang, Xilong; Wang, Jizhong

doi:10.1155/2020/5602917

Cited by 10 publications

(5 citation statements)

References 13 publications

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“…In addition, simulation-based studies have utilized other methods, such as fuzzy logic and a sliding mode controller [18], an observer-based controller [19], and a PI controller [20], to optimize braking maneuvers with respect to passenger comfort. The PI controller-based system developed by Lee and Choi [20] limited both acceleration and jerk, providing a smoother experience for the passengers.…”

Section: State Of the Artmentioning

confidence: 99%

Predictive Braking With Brake Light Detection—Field Test

et al. 2022

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Driver assistance systems, such as adaptive cruise control, are an increasing commodity in modern vehicles. Our earlier experience of radar-based adaptive cruise control has indicated repeatable abrupt behavior when approaching a stopped vehicle at high speed, which is typical for extra-urban roads. Abrupt behavior in assisted driving not only decreases the passenger trust but also reduces the comfort levels of such systems. We present a design and proof-of-concept of a machine vision-enhanced adaptive cruise controller. A machine vision-based brake light detection system was implemented and tested in order to smoothen the transition from coasting to braking and ensure speed reduction early enough. The machine vision system detects the brake lights in front, then transmits a command to the cruise controller to reduce speed. The current paper reports the speed control system design and experiments carried out to validate the system. The experiments showed the system works as designed by reducing abrupt behavior. Measurements show that brake light-assisted cruise control was able to start deceleration about three seconds earlier than a cruise controller without brake light detection. Measurements also showed increased ride comfort with the maximum deceleration and minimum jerk levels improving from 5% to 31%.INDEX TERMS Advanced driver assistance systems, automotive applications, intelligent vehicles, machine vision. I. INTRODUCTION A. BACKGROUND AND MOTIVATION

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Section: State Of the Artmentioning

confidence: 99%

Predictive Braking With Brake Light Detection—Field Test

et al. 2022

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“…The system is simulated on Simulink in MATLAB to realize its effectiveness in achieving the required goals [31]. Chen et al [32] proposed a new control design for the braking system of a brake-by-wire car. The new design aims at helping cars to move on unpaved roads to stabilize their braking power to have smooth running [33].…”

Section: Introductionmentioning

confidence: 99%

“…A classification method is used to measure the intention of a driver to use the brakes or not [33]. The method uses fuzzy logic to solve the classification problem [32]. The intention of divers is sensed from signals produced by human biological organs.…”

Section: Introductionmentioning

confidence: 99%

Design and analysis of a new brake-by-wire system using machine learning

Hassanein

Dawod

Hassan

2023

IJECE

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One of the main aims of the recent research on brake-by-wire systems is to decrease mechanical components. In this paper, we propose replacing the brake pedal with a driving wheel that is fully covered by pressure braking batch sensors. The new mechanism for braking translates pressure exerted through the driver’s hands on the driving wheel to a corresponding electrical signal. A proposed design for the pressure braking batch (PBB) is made out of a mesh of conducting threads separated by a resistive sheet. To the best of our knowledge, this idea has not been raised before in other research papers. Different people have different muscle strengths and so the problem of identifying the intention of the user when pressing the PBB is tackled. For this aim, a new dataset of its kind is created by several volunteers. From each volunteer, age, gender, body mass index (BMI), and maximum pressure exerted on the driving wheel are collected. Using Weka software, the detection accuracy is calculated for a new volunteer to know the intention of his/her pressure on PBB. Among the three algorithms tried, the regression tree gives the best results in predicting the class of the pressure exerted by the volunteers.

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“…The application of intelligent technology in vehicles essentially provides better services for humans. [6][7][8][9][10][11] Therefore, it is also very important to improve braking comfort through the brake-by-wire system. Creating a more comfortable brake system while ensuring braking safety has generated growing research interest.…”

Section: Introductionmentioning

confidence: 99%

Study on ride comfort in post-braking phase based on brake-by-wire system

Liu

Song

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part D:

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This paper focuses on both brake safety and ride comfort improvement in the postbraking phase. First, a complete vehicle model is established together with the design of a safety control strategy for the longitudinal deceleration control method. Information on driver behavior and vehicle signals is collected to ensure braking safety, including vehicle speed, vehicle deceleration, steering wheel angle, accelerator opening degree, and ABS status. Second, a methodology for longitudinal deceleration control is proposed using a sliding mode control algorithm, aiming to improve ride comfort in the postbraking phase under the prerequisite of a reduced braking distance. Finally, co-simulation, based on Simulink and CarSim, and vehicle tests are carried out. The results show that when the braking distance is constant, the longitudinal deceleration vibration and vertical pitch vibration in the postbraking phase are well suppressed. The peak overshot of longitudinal deceleration and the amplitude of vertical vibration in the postbraking phase decrease. The vibration period of the vehicle is shortened. The braking process of the vehicle is smoother. Thus, the ride comfort is improved in the postbraking phase while maintaining braking safety.

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Sliding Mode Control of Vehicle Equipped with Brake-by-Wire System considering Braking Comfort

Cited by 10 publications

References 13 publications

Predictive Braking With Brake Light Detection—Field Test

Predictive Braking With Brake Light Detection—Field Test

Design and analysis of a new brake-by-wire system using machine learning

Study on ride comfort in post-braking phase based on brake-by-wire system

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