Anti-Lock and Anti-Slip Braking System, using fuzzy logic and sliding mode controllers

Naderi, Peyman; Farhadi, Ali; Mirsalim, Mojtaba; Mohammadi, Tayebe

doi:10.1109/vppc.2010.5729058

Cited by 7 publications

(6 citation statements)

References 1 publication

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“…The Eqs. (15) and (16) represents the generalized forces for the modes. Subsequently, the convolution integral is used to define the generalized responses (or normal responses) at the very lightly-damped system.…”

Section: Dynamics Of Motionmentioning

confidence: 99%

“…The non-uniformity of contact pressure may cause vibrational frequencies at a low and high level which are known as hot roughness or hot judder or brake squeal [10], [11]. Therefore, braking system components are needed to have sufficient cooling properties to improve the braking performance which is more significant in high-performance passenger vehicles [12]- [16].…”

Section: Introductionmentioning

confidence: 99%

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An Integrated Approach for Instability Analysis of Lattice Brake System Using Contact Pressure Sensitivity

et al. 2020

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This paper presents an attempt to evaluate the sensitivity of lattice parameters on the contact pressure instability of newly lattice brake disc. The instability characteristics are investigated through theoretical representation, modal analysis experiments, and nonlinear finite element thermo-mechanical analysis. Lattice properties are defined concerning the lattice truss angle geometry in the unit cell and periodicity of the lattice cell on the lattice plate. Motion dynamics of lattice plate concern the principal coordinates on the rotating disc are presented to use in the braking system. The modal behaviour of vanned and lattice brake disc/pad systems are defined through experimental modal analysis at free-free boundary conditions, and results are used as inputs of nonlinear finite element models as it goes through a partial simulation of the SAE J2521 drag braking noise test. Subsequently, the dynamic instability analysis of the brake disc is detailed by using the complex eigenvalue extraction technique concerning the contact pressure and lattice parameters effect. The sensitivity analysis of the brake instability respected to the mass fraction factor and relative density of the lattice structure is presented by using the average standard deviations of the contact pressure force. The likelihood of instability occurrence is quantified by definition of a single indicator derived from the system eigenvalues. The analysis indicates that the higher relative density with lower mass fraction factor of lattice structure is led to a higher temperature at the disc and pad surface. Mutually, the higher mass fraction factor with lower relative density is led to the lower temperature. The maximum contact pressure is observed in the model with less mass fraction factor and more uniform pressure distributions are observed at higher values of the mass fraction factor. The instability analysis points out that high instability frequencies are predicted at lower mass fraction factor and higher relative density.

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Section: Dynamics Of Motionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Integrated Approach for Instability Analysis of Lattice Brake System Using Contact Pressure Sensitivity

et al. 2020

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“…The disturbance input vector is neglected in (9) to simplify the presentation and to deal with ABS models, which are close to real-world automotive applications.…”

Section: Pso Algorithm-based Fuzzy Modeling Approachmentioning

confidence: 99%

“…A discussion on fuzzy models for ABSs is included in [6]. Fuzzy models are involved in intelligent ABS controllers in various control strategies such as type-2 fuzzy control [7], PI and PID fuzzy control [8], sliding mode fuzzy control [9], two-level fuzzy robust cooperative control [10], neuro-fuzzy control [11], [12], stable and optimal state feedback fuzzy control [4], [13].…”

Section: Introductionmentioning

confidence: 99%

Particle Swarm Optimization of fuzzy models for Anti-Lock Braking Systems

Precup

Sabau

Dragoş

et al. 2014

2014 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS)

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This paper suggests a Particle Swarm Optimization (PSO) approach to the optimal tuning of fuzzy models for Antilock Braking Systems (ABSs). A set of ten local state-space models of the ABS is first obtained by the linearization of the nonlinear state-space model of the ABS process at ten operating points. The initial Takagi-Sugeno (T-S) fuzzy models are next obtained by the modal equivalence principle, namely by placing the local state-space models of the process in the rule consequents. The optimization problem targets the minimization of the objective function (OF) expressed as the mean squared modeling error, and the vector variable of the OF consists of the feet of the triangular input membership functions. A PSO algorithm solves the optimization problem and gives the optimal T-S fuzzy models. A set of real-time experimental results is included to validate the PSO approach and the optimal T-S fuzzy models for real-world ABS laboratory equipment.

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“…Minh built the ABS test-bed, designed a fuzzy controller and a PID controller, and compared the two control strategies through experiments [15]. Naderi et al designed ASR and ABS controllers based on fuzzy control strategy and sliding mode control strategy in MATLAB, and verified their effectiveness [16]. Majid Mokarram et al used the CMOS circuit and the adaptive neuro-fuzzy inference system to optimize the ABS fuzzy controller [17].…”

Section: Introductionmentioning

confidence: 99%

Pneumatic ABS Modeling and Failure Mode Analysis of Electromagnetic and Control Valves for Commercial Vehicles

Zhao

Zhou

et al. 2020

Electronics

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A failure of the pneumatic ABS (anti-lock braking system) weakens the braking performance of commercial vehicles. It affects the driving safety of vehicles. There are four typical failure modes that include: the failure of the pilot inlet solenoid valve and pilot exhaust solenoid valve of the pressure regulator, the failure of the series dual-chamber brake valve, and the failure of the relay valve. In order to study the braking performance and the rule of vehicles under the failure modes of the pneumatic ABS, the co-simulation model of the pneumatic ABS of the commercial vehicle was established based on AMESim and Simulink softwares. The gas path subsystem of the pneumatic ABS and the vehicle model were built based on AMESim. The controller was established based on Simulink/Stateflow. The data were transmitted between the AMESim and Simulink software by using the data interface block. The co-simulation model was validated by tests. The results showed that the maximum error of the braking deceleration is 13.51%. The model can simulate the braking process of the vehicle well. Based on this, the four typical failure modes of the pneumatic ABS were simulated, and the influences of different failure modes on the braking ability were analyzed. The influence of failure ratio on braking distance in four modes was obtained. It can be seen from the simulation results that the failure of the pilot inlet solenoid valve and the pilot exhaust solenoid valve of the pressure regulator cause the wheel lock. The failure of the lower chamber of the brake valve and the failure of the relay valve have a great influence on the braking distance.

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Anti-Lock and Anti-Slip Braking System, using fuzzy logic and sliding mode controllers

Cited by 7 publications

References 1 publication

An Integrated Approach for Instability Analysis of Lattice Brake System Using Contact Pressure Sensitivity

An Integrated Approach for Instability Analysis of Lattice Brake System Using Contact Pressure Sensitivity

Particle Swarm Optimization of fuzzy models for Anti-Lock Braking Systems

Pneumatic ABS Modeling and Failure Mode Analysis of Electromagnetic and Control Valves for Commercial Vehicles

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