Optimization of Vehicle Braking Distance Using a Fuzzy Controller

Girovský, Peter; Zilkova, Jaroslava; Kaňuch, J.

doi:10.3390/en13113022

Cited by 10 publications

(5 citation statements)

References 18 publications

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“…Integrating ABS and CAS monitoring keeps the vehicle at safe braking [96] distance from obstacles without compromising the functionality of either system. As a result, another group of researchers [88][89] created an adaptive PID-type fuzzy ABS regulator. The ABS was controlled through a series of tests carried out on a platform.…”

Section: Integration Of Eba With Absmentioning

confidence: 99%

A Systematic Review of Emergency Braking Assistant System to Avoid Accidents Using Pulse Width Modulation and Fuzzy Logic Control Integrated with Antilock Braking

SHITAL GUNJATE,

PROF.DR.SANJAY A KHOT

2023

Int. J. Automot. Mech. Eng.

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The increasing number of fatalities in nations across the world because of a deficiency of protective technology in automobiles has created a chaotic scene in recent years. However, the car driver’s Perception-Reaction Time (PRT) plays an important variable during such accidents and emergencies. The Anti-Lock Braking System (ABS) seems a viable technology, which today is used to prevent tires from sliding during quick brakes, whereas EBS is designed for braking assistance during tuning or emergency braking. Physical weight, rotational rigidity, diameter, and tire material strength of the vehicle are all used to simulate them. Advance Driver Assistance Systems (ADAS), which include Anti-lock brakes (ABS) and Emergency Braking Systems (EBS), are the foremost viable technique for minimizing the environmental impact and uncertainties of driving road transportation. The presented systematic review aims to deliver a ground-level analysis that can be used to enhance the safety of motor vehicle driving, reduce wheel slip to achieve the best possible stopping distance in commercial and specialized vehicles, and influence future transportation. In this study, the most widely utilized technologies for ADAS have been reviewed and discussed. Various sensors used to improve braking and vehicle performance have been systematically studied in the context of low power-consuming techniques like pulse width modulation. An analysis of emergency braking procedures performed by riders with varying degrees of braking expertise was conducted using previously collected experimental data, and the results were used to conclude potential loss of control situations.

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Section: Integration Of Eba With Absmentioning

confidence: 99%

A Systematic Review of Emergency Braking Assistant System to Avoid Accidents Using Pulse Width Modulation and Fuzzy Logic Control Integrated with Antilock Braking

SHITAL GUNJATE,

PROF.DR.SANJAY A KHOT

2023

Int. J. Automot. Mech. Eng.

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“…As a common control algorithm, fuzzy control is widely used in automotive research because of its excellent performance in nonlinear system control. However, the selection of control parameters, the determination of parameter variation range, and the formulation of fuzzy rules determine whether the control algorithm has good control ability [23][24][25].…”

Section: Design Of Fuzzy Controller For Hydraulic Brakingmentioning

confidence: 99%

Coordinated Control Strategy of Electro-Hydraulic Composite Braking Torque for the Distributed Electric Vehicles

2022

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The difference in response to electric and hydraulic braking causes sudden changes in braking torque during braking mode switching. An electro-hydraulic composite braking system’s dynamic torque coordination control strategy is proposed under braking mode switching conditions. By establishing the dynamic response model of the electro-hydraulic braking system (EHB), the key factors affecting the response speed of the EHB are analyzed, and the dynamic fuzzy controller for the pressure regulation of the brake wheel cylinder is designed. At the same time, the nonlinearity and hysteresis in the hydraulic braking process are considered, as well as electrical brake response overshoots. The electric brake response model is established, and the PID controller with feedforward feedback is designed to control the motor to adjust the inertia overpressure or lag pressure deficiency in the hydraulic braking process. Finally, the simulation verification is carried out; the results show that the proposed strategy can increase the hydraulic brake response speed by 25.4%, the impact degree of the vehicle is not more than 6.25 GB, and the hydraulic steady state error does not exceed 2.3%, which improves the vehicle ride comfort under braking mode switching.

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“…Since a reasonable stopping sight distance can effectively reduce the occurrence of highway emergencies [2], many scholars have carried out research on the influencing factors of stopping sight distance, which are mainly divided into three aspects: vehicle, road and driver. Vehicle start from the academic performance to the braking system of the vehicle, and a new stopping sight distance model is proposed [3][4][5]. The road aspect mainly involves the design of the stopping sight distance, and the stopping sight distance design is divided into two-dimensional plane design [6][7][8] and threedimensional design [9][10].…”

Section: Introductionmentioning

confidence: 99%

A New Stopping Sight Distance Model and Fuzzy Reliability Analysis Comparison

Chen

et al. 2022

IEEE Access

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Aiming at the research on the stopping sight distance of the highway, on the basis of calculating the stopping sight distance in the current specification, the actual braking process of the car is divided into three stages: the driver's reaction stage, the braking force rising stage and the continuous braking stage. The calculation model of the complete braking stage is analyzed by MATLAB, and then the calculation model of the stopping sight distance of the ESC system is proposed. Considering the ambiguity of the operating speed, the fuzzy reliability theory is introduced to establish the function of the fuzzy reliability of the stopping sight distance. Using the Gaussian fuzzy number and the center point method, the reliability index and failure probability of the stopping sight distance are obtained, and the safety of the stopping sight distance is evaluated. According to the "Uniform Standard for Reliability Design of Highway Engineering Structures", the traditional reliability calculation method and the fuzzy reliability calculation method are used to calculate the stopping sight distance value that meets the corresponding reliability index of the highway safety level. The calculated value of the system stopping sight distance model is used as a reference, and the reliability index and failure probability of the two reliability calculation methods are calculated. The calculation results show that: compared with the traditional reliability calculation method, the fuzzy reliability calculation method calculates the stopping sight distance value with higher reliability index, lower failure probability and higher calculation accuracy. Implementing the road design based on the stopping sight distance value calculated by the fuzzy reliability theory can improve the road safety.

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Optimization of Vehicle Braking Distance Using a Fuzzy Controller

Cited by 10 publications

References 18 publications

A Systematic Review of Emergency Braking Assistant System to Avoid Accidents Using Pulse Width Modulation and Fuzzy Logic Control Integrated with Antilock Braking

A Systematic Review of Emergency Braking Assistant System to Avoid Accidents Using Pulse Width Modulation and Fuzzy Logic Control Integrated with Antilock Braking

Coordinated Control Strategy of Electro-Hydraulic Composite Braking Torque for the Distributed Electric Vehicles

A New Stopping Sight Distance Model and Fuzzy Reliability Analysis Comparison

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