PID-Type Fuzzy Control for Anti-Lock Brake Systems with Parameter Adaptation

Chen, Chih-Keng; Shih, Ming‐Chang

doi:10.1299/jsmec.47.675

Cited by 18 publications

(4 citation statements)

References 10 publications

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“…The results show that integrated control of ABS and CAS maintains the safe distance from obstacle without sacrificing the performance of either system. Different researcher [57][58][59] developed an adaptive PID-type fuzzy controller for the ABS system. A platform is built to accomplish a series of experiments to control the ABS.…”

Section: Intelligent Control Based On Fuzzy Logicmentioning

confidence: 99%

An Antilock-Braking Systems (ABS) Control: A Technical Review

Aly¹,

Zeidan²,

Hamed³

et al. 2011

ICA

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Many different control methods for ABS systems have been developed. These methods differ in their theoretical basis and performance under the changes of road conditions. The present review is a part of research project entitled “Intelligent Antilock Brake System Design for Road-Surfaces of Saudi Arabia” In the present paper we review the methods used in the design of ABS systems. We highlight the main difficulties and summarize the more recent developments in their control techniques. Intelligent control systems like fuzzy control can be used in ABS control to emulate the qualitative aspects of human knowledge with several advantages such as robustness, universal approximation theorem and rule-based algorithms

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Section: Intelligent Control Based On Fuzzy Logicmentioning

confidence: 99%

An Antilock-Braking Systems (ABS) Control: A Technical Review

Aly¹,

Zeidan²,

Hamed³

et al. 2011

ICA

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“…The dynamic equation of the whole system can be written in state variable form by defining convenient state variables. Using equations (2) and (3), and defining the state variables as (Ming, 1997;Chen and Shih, 2004):…”

Section: Vehicle Brake-system Dynamicsmentioning

confidence: 99%

Intelligent fuzzy controller with road surfaces identifier for antilock brake system

Aly

2011

IJMA

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Antilock brake system (ABS) which is a non-linear system may not be easily controlled by classical control methods. An additional challenging issue that manipulated in this search is the case of the so-called split-mu braking condition, where braking occurs while the wheels travel on different road surfaces. An intelligent fuzzy ABS controller is designed to adjust slipping performance for variety of roads. The fuzzy optimiser finds immediately the optimal wheel slips for the new surface and forces the actual wheel slips to track the optimal reference wheel slips. The simulation results show that proposed ABS algorithm ensures the avoiding of wheel's blockage, even in different road conditions. Moreover, as a free model strategy, the obtained fuzzy control is advantageous from viewpoint of reducing design complexity and, also, anti-saturating, anti-chattering and robustness properties of the controlled system.Keywords: cascade fuzzy control structure; fuzzy optimiser; antilock braking system; ABS; tyre slip; road surfaces identifier.Reference to this paper should be made as follows: Aly, A.A. (2011) 'Intelligent fuzzy controller with road surfaces identifier for antilock brake system', Int.

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“…Sliding control technique [9], fuzzy logic [10], and neural networks [11] [62] are only a few of the regulatory techniques that have been published in the research to improve the ABS functionality. Figure 1 depicts the fundamental circuit of an anti-lock driving technique and a brake assist system [12]. It's generally accepted that the car has front-wheel drive.…”

Section: Introductionmentioning

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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PID-Type Fuzzy Control for Anti-Lock Brake Systems with Parameter Adaptation

Cited by 18 publications

References 10 publications

An Antilock-Braking Systems (ABS) Control: A Technical Review

An Antilock-Braking Systems (ABS) Control: A Technical Review

Intelligent fuzzy controller with road surfaces identifier for antilock brake system

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

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